This half hour tutorial takes you step by step through the fundamental concepts you need to know to build a no code chatbot with Power Virtual Agents. Watch and pause and build your own bot side by side with this step-by-step instructional video.

You will learn:
– How to create a bot
– What topics are and how to create them
– How to use variables to store information from the user response for the bot to use later
– What entity extraction is and how it enables the bot to have a natural conversation, including skipping questions
– How to test your bot, and publish it to a demo website to share with others
– How to use Power Automate to call an action – in this example we post information from a bot chat into Microsoft Teams
– How to use the topic redirect feature

An updated guide on large ME controllers and P2P networking.
You can support me and the channel! Read more here: https://www.patreon.com/tkh

I have done videos about these things before, but when I got a question to help out with a problem I took the opportunity to also make an updated video on the subject.

I think the old videos didn’t have the visible channel info from The One Probe or the colored tunnels which makes things much easier compared to how it used to be.

Btw, I think it’s called “Back bone network”… 馃槈

Read more about me and what I do here:
http://tkh.one/

All my AE2 videos are gathered in this playlist:
https://www.youtube.com/playlist?list=PLPCqiTnvx2Gv3rd5fpVPpKtb2oH53eYYa

Key items and blocks in this video:
– ME Controller
– P2P Tunnel
– Memory Card
– ME Networks
– Auto-crafting

If you like what you see, please hit “like” and feel free to comment and share. And of course, subscribe if you want to see more!

I can be found on social medias as well, for video announcements and general updates. They are also the preferred way to send a non-video related question or comment. Oh, and sometimes I do things on Twitch as well!
http://twitter.com/therealtkh
https://www.facebook.com/therealtkh
http://www.twitch.tv/therealtkh/

Game details for this video:
Twitch App
Minecraft 1.12.2 – Custom Pack
Forge 14.23.5.2814
Applied Energistics 2 [rv6-stable-6]

Find Applied Energistics 2 here:
http://ae-mod.info/

This video contains python implementation of Realtime Face Emotion Recognition
1) Brainstorming (background of facial emotion recognition)
(i)Challenges in FER 2013 dataset
2) OpenCV for drawing rectangles and overlaying text data
3) Face emotion recognition using DeepFace library
4) Live Video demo using OpenCV + DeepFace for Webcam

Deep learning, Deepfake, Machine Learning, Classification algorithm, Regression Algorithm, Supervised ML, Clustering Algorithm,Business Intelligence (BI),Data Engineering,Decision Science,Artificial Intelligence (AI),Machine Learning,Supervised Learning,Classification,Clustering,Deep Learning,Linear Regression,A/B Testing,Hypothesis Testing,Statistical Power,Statistical Power,Standard Error,Exploratory Data Analysis (EDA),Data Visualization,R, Python, SQL, GitHub, ETL, Data Models,

This Artificial Intelligence tutorial video will help you understand what is Artificial Intelligence, types of Artificial Intelligence, ways of achieving Artificial Intelligence and applications of Artificial Intelligence. In the end, we will also implement a use case on TensorFlow in which we will predict whether a person has diabetes or not. Artificial Intelligence is a method of making a computer, a computer-controlled robot or a software think intelligently in a manner similar to the human mind. AI is accomplished by studying the patterns of the human brain and by analyzing the cognitive process. Artificial Intelligence is emerging as the next big thing in the technology field. Organizations are adopting AI and budgeting for certified professionals in the field, thus the demand for trained and certified professionals in AI is increasing. As this new field continues to grow, it will have an impact on everyday life and lead to considerable implications for many industries. Now, let us deep dive into the AI tutorial video and understand what is this Artificial Intelligence all about and how it can impact human life.

馃敟Free Artificial Intelligence Course: https://www.simplilearn.com/learn-ai-basics-skillup?utm_campaign=AI&utm_medium=Description&utm_source=youtube

The topics covered in this Artificial Intelligence Tutorial are as follows:
1. What is Artificial intelligence?
2. Types of Artificial intelligence
3. Ways of achieving artificial intelligence
4. Applications of Artificial intelligence
5. Use case – Predicting if a person has diabetes or not

To learn more about Artificial Intelligence, subscribe to our YouTube channel: youtube.com/c/SimplilearnOfficial

Download the Artificial Intelligence Career Guide and take a sneak peek into the world that awaits you: https://www.simplilearn.com/artificial-intelligence-career-guide-pdf?utm_campaign=Aritificial-Intelligence-Tutorial-FWOZmmIUqHg&utm_medium=Tutorials&utm_source=youtube

You can also go through the slides here: https://goo.gl/ApsL6g

#ArtificialIntelligence #Simplilearn #AI #AIIn10Minutes #MachineLearning

We’ve partnered with Purdue University and collaborated with IBM to offer you the unique Post Graduate Program in AI and Machine Learning. Learn more about it here – https://www.simplilearn.com/ai-and-machine-learning-post-graduate-certificate-program-purdue?utm_campaign=Aritificial-Intelligence-Tutorial-FWOZmmIUqHg&utm_medium=Tutorials&utm_source=youtube

Simplilearn鈥檚 Artificial Intelligence course provides training in the skills required for a career in AI. You will master TensorFlow, Machine Learning and other AI concepts, plus the programming languages needed to design intelligent agents, deep learning algorithms & advanced artificial neural networks that use predictive analytics to solve real-time decision-making problems without explicit programming.

Why learn Artificial Intelligence?
The current and future demand for AI engineers is staggering. The New York Times reports a candidate shortage for certified AI Engineers, with fewer than 10,000 qualified people in the world to fill these jobs, which according to Paysa earn an average salary of $172,000 per year in the U.S. (or Rs.17 lakhs to Rs. 25 lakhs in India) for engineers with the required skills.

You can gain in-depth knowledge of Artificial Intelligence by taking our Artificial Intelligence certification training course. Those who complete the course will be able to:

Master the concepts of supervised and unsupervised learning
Gain practical mastery over principles, algorithms, and applications of machine learning through a hands-on approach which includes working on 28 projects and one capstone project.
Acquire thorough knowledge of the mathematical and heuristic aspects of machine learning.
Understand the concepts and operation of support vector machines, kernel SVM, Naive Bayes, decision tree classifier, random forest classifier, logistic regression, K-nearest neighbors, K-means clustering and more.
Comprehend the theoretical concepts and how they relate to the practical aspects of machine learning.
Be able to model a wide variety of robust machine learning algorithms including deep learning, clustering, and recommendation systems

Learn more at: https://www.simplilearn.com/artificial-intelligence-masters-program-training-course?utm_campaign=Aritificial-Intelligence-Tutorial-FWOZmmIUqHg&utm_medium=Tutorials&utm_source=youtube

For more updates on courses and tips follow us on:
– Facebook: https://www.facebook.com/Simplilearn
– Twitter: https://twitter.com/simplilearn
– LinkedIn: https://www.linkedin.com/company/simplilearn/
– Website: https://www.simplilearn.com

Whats up my friends?!

Today I am joined by Flow and Apps MVP – That APi Guy, Vivek Bavishi – http://twitter.com/that_api_guy to discuss how to use Power Virtual Agents!

Be sure to check out Viveks YouTube Channel also! – http://youtube.com/thatapiguy He makes great videos all the time!

Read the documentation specifics on this licensing – https://docs.microsoft.com/en-us/power-virtual-agents/requirements-licensing-subscriptions#power-virtual-agents-for-microsoft-teams-plan

if you have any questions be sure to leave them in the comments or hit us up on Twitter!

00:00 – Introduction and Prep
02:39 – Getting Virtual Agents ready in Teams
04:30 – Lets take a tour of PVA
08:16 – Lets create!
14:15 – Lets build a flow to help the bot!
21:32 – Lets test the bot!
23:00 – Publishing the bot
25:40 – How to share it with everyone in your organization
27:00 – Conclusion

to get started on Flow head to http://flow.microsoft.com

to join the flow community head to http://aka.ms/MPAComm

Follow me on Twitter? head to http://twitter.com/JonJLevesque

If you would like to make videos like mine, check out my gear list here: https://www.amazon.com/shop/jonlevesque

as always, Please LIKE & SUBSCRIBE!

Much Love from Me!

– Jon

AI is not only for engineers. If you want your organization to become better at using AI, this is the course to tell everyone–especially your non-technical colleagues–to take.

In this course, you will learn:

– The meaning behind common AI terminology, including neural networks, machine learning, deep learning, and data science
– What AI realistically can–and cannot–do
– How to spot opportunities to apply AI to problems in your own organization
– What it feels like to build machine learning and data science projects
– How to work with an AI team and build an AI strategy in your company
– How to navigate ethical and societal discussions surrounding AI

Though this course is largely non-technical, engineers can also take this course to learn the business aspects of AI.
#Part2
#AIforEveryone
#AIbyAndrewNg

Like, Subscribe & share
Support our Channel
Tuitions Tonight

This video on the Artificial Intelligence tutorial will make you learn in detail about the different concepts involved in AI. First, you will understand the basics of AI. Since AI is a combination of Machine Learning and Deep Learning, you will learn about Machine Learning with hands-on demo. Then, you will get an idea about the top 10 applications of Machine Learning. This tutorial will also help you learn about Deep Learning in Python using TensorFlow. You will come across some essential Deep Learning applications. Finally, you will learn how to become an AI Engineer and look at some vital machine learning and deep learning interview questions. Now, let’s dive in and learn artificial intelligence in detail.

馃敟Free Artificial Intelligence Course: https://www.simplilearn.com/learn-ai-basics-skillup?utm_campaign=AI&utm_medium=Description&utm_source=youtube

Below topics are explained in this Artificial Intelligence tutorial:
1. Introduction to Artificial Intelligence (0:33)
2. What is Artificial Intelligence (06:20)
3. Brief history of Artificial Intelligence (07:16)
4. Types of Artificial Intelligence (10:25)
5. Artificial of Artificial Intelligence (13:23)
6. Future of Artificial Intelligence (14:56)
7. Machine Learning vs Deep Learning vs Artificial Intelligence (16:15)
8. Human vs Artificial Intelligence (19:36)
9. What is Machine Learning and Deep Learning? (21:33)
10. Real-life examples (31:31)
11. Types of Artificial Intelligence (33:49)
12. Machine Learning tutorial (42:38)
13. Why Machine Learning (43:12)
14. What is Machine Learning (47:19)
15. Types of Machine Learning (54:01)
16. Supervised Learning (54:13)
17. Reinforcement Learning (56:35)
18. Supervised vs Unsupervised (57:54)
19. Machine Learning Algorithms (59:12)
20. Linear regression (1:01:00)
21. Decision trees (1:08:12)
22. Support Vector Machine (1:16:31)
23. Clustering (1:44:56)
24. K-means clustering (1:45:45)
25. Logistic Regression (2:15:19)
26. Applications of Machine Learning (2:39:40)
27. What is Deep Learning? (2:44:36)
28. What is a Neural Network? (2:46:46)
29. Machine Learning Interview Questions & Answers (0:20:50)

To learn more about Artificial Intelligence, subscribe to our YouTube channel: https://www.youtube.com/user/Simplilearn?sub_confirmation=1

Download the Artificial Intelligence Career Guide and take a sneak peek into the world that awaits you: https://www.simplilearn.com/artificial-intelligence-career-guide-pdf?utm_campaign=Aritificial-Intelligence-Tutorial-8Pyy2d3SZuM&utm_medium=Tutorials&utm_source=youtube

Watch more videos on Artificial Intelligence: https://www.youtube.com/watch?v=ad79nYk2keg&list=PLEiEAq2VkUULyr_ftxpHB6DumOq1Zz2hq

#ArtificialIntelligence #AI #ArtificialIntelligenceTutorial #ArtificialIntelligenceFullCourse #Simplilearn

We’ve partnered with Purdue University and collaborated with IBM to offer you the unique Post Graduate Program in AI and Machine Learning. Learn more about it here – https://www.simplilearn.com/ai-and-machine-learning-post-graduate-certificate-program-purdue?utm_campaign=Aritificial-Intelligence-Tutorial-8Pyy2d3SZuM&utm_medium=Tutorials&utm_source=youtube

Simplilearn鈥檚 Artificial Intelligence course provides training in the skills required for a career in AI. You will master TensorFlow, Machine Learning and other AI concepts, plus the programming languages needed to design intelligent agents, deep learning algorithms & advanced artificial neural networks that use predictive analytics to solve real-time decision-making problems without explicit programming.

You can gain in-depth knowledge of Artificial Intelligence by taking our Artificial Intelligence certification training course. Those who complete the course will be able to:
1. Master the concepts of supervised and unsupervised learning
2. Gain practical mastery over principles, algorithms, and applications of machine learning through a hands-on approach which includes working on 28 projects and one capstone project.
3. Acquire thorough knowledge of the mathematical and heuristic aspects of machine learning.
4. Understand the concepts and operation of support vector machines, kernel SVM, naive bayes, decision tree classifier, random forest classifier,
logistic regression, K-nearest neighbors, K-means clustering and more.

Learn more at: https://www.simplilearn.com/artificial-intelligence-masters-program-training-course?utm_campaign=Aritificial-Intelligence-Tutorial-8Pyy2d3SZuM&utm_medium=Tutorials&utm_source=youtube

For more updates on courses and tips follow us on:
– Facebook: https://www.facebook.com/Simplilearn
– Twitter: https://twitter.com/simplilearn
– LinkedIn: https://www.linkedin.com/company/simplilearn/
– Website: https://www.simplilearn.com

In this video we will be using the Python Face Recognition library to do a few things

Sponsor: DevMountain Bootcamp
https://goo.gl/6q0dEa

Examples & Docs:
https://github.com/bradtraversy/face_recognition_examples
https://github.com/ageitgey/face_recognition

馃挅 Become a Patron: Show support & get perks!
http://www.patreon.com/traversymedia

Website & Udemy Courses
http://www.traversymedia.com

Follow Traversy Media:
https://www.facebook.com/traversymedia
https://www.twitter.com/traversymedia
https://www.instagram.com/traversymedia

** Edureka Python Certification Training: https://www.edureka.co/python **
This Edureka video on ‘Robot Framework With Python’ explains the various aspects of robot framework in python with a use case showing web testing using selenium library. Following are the topics discussed in this Robot Framework Tutorial:

What is Robot Framework In Python?
Standard Libraries
Built-in Tools
Test Cases
Keywords
Variables
Organizing Test Cases
Use Case – RobotFramework-SeleniumLibrary

Python Tutorial Playlist: https://goo.gl/WsBpKe
Blog Series: http://bit.ly/2sqmP4s

#PythonEdureka #Edureka #robotframeworkinpython #pythonprojects #pythonprogramming #pythontutorial #PythonTraining

Do subscribe to our channel and hit the bell icon to never miss an update from us in the future: https://goo.gl/6ohpTV

Instagram: https://www.instagram.com/edureka_learning/
Facebook: https://www.facebook.com/edurekaIN/
Twitter: https://twitter.com/edurekain
LinkedIn: https://www.linkedin.com/company/edureka

———————————————————————————————————————————–

How it Works?
1. This is a 5 Week Instructor-led Online Course,40 hours of assignment and 20 hours of project work
2. We have a 24×7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course.
3. At the end of the training, you will be working on a real-time project for which we will provide you a Grade and a Verifiable Certificate!

– – – – – – – – – – – – – – – – –
About the Course

Edureka’s Python Online Certification Training will make you an expert in Python programming. It will also help you learn Python the Big data way with integration of Machine learning, Pig, Hive and Web Scraping through beautiful soup. During our Python Certification training, our instructors will help you:

1. Master the Basic and Advanced Concepts of Python
2. Understand Python Scripts on UNIX/Windows, Python Editors and IDEs
3. Master the Concepts of Sequences and File operations
4. Learn how to use and create functions, sorting different elements, Lambda function, error handling techniques and Regular expressions ans using modules in Python
5. Gain expertise in machine learning using Python and build a Real Life Machine Learning application
6. Understand the supervised and unsupervised learning and concepts of Scikit-Learn
7. Master the concepts of MapReduce in Hadoop
8. Learn to write Complex MapReduce programs
9. Understand what is PIG and HIVE, Streaming feature in Hadoop, MapReduce job running with Python
10. Implementing a PIG UDF in Python, Writing a HIVE UDF in Python, Pydoop and/Or MRjob Basics
11. Master the concepts of Web scraping in Python
12. Work on a Real Life Project on Big Data Analytics using Python and gain Hands on Project Experience
– – – – – – – – – – – – – – – – – – –

Why learn Python?

Programmers love Python because of how fast and easy it is to use. Python cuts development time in half with its simple to read syntax and easy compilation feature. Debugging your programs is a breeze in Python with its built in debugger. Using Python makes Programmers more productive and their programs ultimately better. Python continues to be a favorite option for data scientists who use it for building and using Machine learning applications and other scientific computations.
Python runs on Windows, Linux/Unix, Mac OS and has been ported to Java and .NET virtual machines. Python is free to use, even for the commercial products, because of its OSI-approved open source license.
Python has evolved as the most preferred Language for Data Analytics and the increasing search trends on python also indicates that Python is the next “Big Thing” and a must for Professionals in the Data Analytics domain.

Who should go for python?

Edureka鈥檚 Data Science certification course in Python is a good fit for the below professionals:

路 Programmers, Developers, Technical Leads, Architects

路 Developers aspiring to be a 鈥楳achine Learning Engineer’

路 Analytics Managers who are leading a team of analysts

路 Business Analysts who want to understand Machine Learning (ML) Techniques

路 Information Architects who want to gain expertise in Predictive Analytics

路 ‘Python’ professionals who want to design automatic predictive models

For more information, Please write back to us at sales@edureka.co or call us at IND: 9606058406 / US: 18338555775 (toll free

This tutorial would help you understand Deep learning frameworks, such as convolutional neural networks (CNNs), which have almost completely replaced other machine learning techniques for specific tasks such as image recognition using large training datasets. In this webinar, we will go over how CNNs, their training methods, and hardware evolved since LeNet first appeared in the late 1990鈥檚. We will examine the challenges that came along, and some key innovations that helped overcome these challenges. We will also look at a guide on how to get started with CNNs, some common pitfalls, and tips and tricks in training CNNs. Advanced Technology Group (ATG) of the CTO Office at NetApp. The ATG group is responsible for investigations, through early product prototypes, and leveraging technologies expected to become mainstream in 3+ years.

About us:
HackerEarth is the most comprehensive developer assessment software that helps companies to accurately measure the skills of developers during the recruiting process. More than 500 companies across the globe use HackerEarth to improve the quality of their engineering hires and reduce the time spent by recruiters on screening candidates. Over the years, we have also built a thriving community of 2.5M+ developers that come to HackerEarth to participate in hackathons and coding challenges to assess their skills and compete in the community.

馃敟Intellipaat RPA course: https://intellipaat.com/rpa-training/
In this RPA tutorial for beginners video you will learn what is Robotic Process Automation (RPA), and the various tools which can be used to implement the RPA technology. RPA training is in much demand these days so we have come up with this video where we will show you how to create RPA programs using the UiPath Tool. So this RPA UiPath tutorials video is your one stop video for the basic rpa concepts required to get started with this technology.
#RPATutorialForBeginners #UiPathTutorials #RPATraining

馃搶 Do subscribe to Intellipaat channel & get regular updates on videos: http://bit.ly/Intellipaat

馃敆 Watch RPA video tutorials here: https://www.youtube.com/watch?v=txi-Ah-LRv8&list=PLVHgQku8Z9354mv4GbH-dn7FW1LBaKS5h

馃摃 Read complete RPA tutorial here: https://intellipaat.com/tutorial/rpa-tutorial/

猸 Get RPA cheat sheet here: https://intellipaat.com/tutorial/rpa-tutorial/rpa-cheat-sheet/

馃摃 Read insightful blog on what is RPA: https://intellipaat.com/blog/what-is-rpa/

馃摪Interested to learn RPA still more? Please check similar RPA certification blog here: https://intellipaat.com/blog/robotic-process-automation-certification/

馃摑Following topics are covered in this RPA tutorial for beginners video:
Why RPA – 0:44
What is RPA – 4:01
Automation v/s RPA – 5:36
RPA Tools – 11:04
Introduction to UiPath – 14:23
Hands-on (Our first RPA Program) – 18:13
Working of Orchestrator – 27:47
How to create an object – 59:41
Logging in application – 1:49:36

If you鈥檝e enjoyed this video on What is Robotic Process Automation video, Like us and Subscribe to our channel for more similar informative RPA course tutorials.

Got any questions about RPA training? Ask us in the comment section below.
—————————-
Intellipaat Edge

1. 24*7 Life time Access & Support
2. Flexible Class Schedule
3. Job Assistance
4. Mentors with +14 yrs
5. Industry Oriented Course ware
6. Life time free Course Upgrade

Why should you watch this Robotic Process Automation video?

Robotic Process Automation is being heralded as one of the booming industries in today鈥檚 digitally-driven economy. Every industry including banking, finance, Information Technology can immensely benefit from the RPA industry. We are offering the top RPA tutorial that can be watched by anybody to learn RPA. Our What is Robotic Process Automation video has been created with extensive inputs from the industry so that you can learn RPA easily.

Who should watch this What is Robotic Process Automation training video?

If you want to learn RPA to master Robotic Process Automation and work on different tools in RPA, deploy the UiPath tool and work on UiPath Studio, then this Intellipaat explanation on RPA is for you. This Intellipaat RPA tutorial is your first step to learn RPA. Since this RPA video can be taken by anybody, so if you are a Software engineers, software testing & IT professionals can take this online RPA training. If you want to make the best of the boom in RPA market then this RPA tutorial is for you.

Why should you opt for a RPA career?

Learning RPA will help you master all the skills needed in order to work on Robotic Process Automation using UiPath in the organization. You will grab the best jobs in top MNCs after finishing Intellipaat rpa online training. The entire Intellipaat’s RPA course is in line with the industry needs.There is a huge demand for RPA certified professional. The salaries for RPA professional are very good.
——————————

For more Information:
Please write us to sales@intellipaat.com, or call us at: +91- 7847955955

Website: https://intellipaat.com/rpa-training/

Facebook: https://www.facebook.com/intellipaatonline

LinkedIn: https://www.linkedin.com/in/intellipaat/

Twitter: https://twitter.com/Intellipaat

Robotic Process Automation – RPA Tutorial for Beginners on Blue Prism

馃帗Let’s Start Something New Today! Refresh Your Skills & Be Future Ready! Courses up to 75% Discount (custom link): http://bit.ly/75DiscountCode

馃帗UiPath Flat 20% Discount only using this custom link: http://bit.ly/UiPathDiscountForASKEYGEEK

鈻篋on’t Miss Next Update: http://bit.ly/asKeygeek Helping you Succeed in Automation (RPA & AI).

Disclaimer: This is a recording of an online RPA Training on Blue Prism, not an official Blue Prism training material.

3 Suggested Reads:
1.https://www.askeygeek.com/robotic-process-automation-rpa-what-why-how-all-you-need-to-know/
2.https://www.askeygeek.com/companies-using-robotic-process-automation/
3.https://www.askeygeek.com/robotic-process-automation-training/
DON’T MISS: https://www.youtube.com/c/AnsonAntonyV1?sub_confirmation=1

馃攳Find us on Facebook: https://www.facebook.com/asKeygeek/
馃摉Read more on: https://www.askeygeek.com/tutorials/

#RPATutorials #RPA #BluePrism

Best Machine Learning book: https://amzn.to/2MilWH0 (Fundamentals Of Machine Learning for Predictive Data Analytics).

Machine Learning and Predictive Analytics. #MachineLearning

Intro to Predictive Analytics is the second video in this machine learning course. This video explains how machine learning algorithms are used in the field of data analytics to create models of reality.

This online course covers big data analytics stages using machine learning and predictive analytics. Big data and predictive analytics is one of the most popular applications of machine learning and is foundational to getting deeper insights from data. Starting off, this course will cover machine learning algorithms, supervised learning, data planning, data cleaning, data visualization, models, and more. This self paced series is perfect if you are pursuing an online computer science degree, online data science degree, online artificial intelligence degree, or if you just want to get more machine learning experience. Enjoy! Check out the entire series here: https://www.youtube.com/playlist?list=PL_c9BZzLwBRIPaKlO5huuWQdcM3iYqF2w&playnext=1

~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Support me! http://www.patreon.com/calebcurry

Subscribe to my newsletter: http://bit.ly/JoinCCNewsletter

Donate!: http://bit.ly/DonateCTVM2.

~~~~~~~~~~~~~~~Additional Links~~~~~~~~~~~~~~~

More content: http://CalebCurry.com
Facebook: http://www.facebook.com/CalebTheVideoMaker
Google+: https://plus.google.com/+CalebTheVideoMaker2
Twitter: http://twitter.com/calebCurry

Amazing Web Hosting – http://bit.ly/ccbluehost (The best web hosting for a cheap price!)

馃敟 PGP in AI and Machine Learning (9 Months Online Program) : https://www.edureka.co/post-graduate/machine-learning-and-ai
This Edureka video on “Cognitive AI” explains cognitive computing and how it helps in making better human decisions at work. Also, it explains the differences between cognitive computing and artificial intelligence.
———————————————————–

Subscribe to our channel to get video updates. Hit the subscribe button above: https://goo.gl/6ohpTV

Edureka Community: https://bit.ly/EdurekaCommunity
Instagram: https://www.instagram.com/edureka_learning/
Slideshare: https://www.slideshare.net/EdurekaIN/
Facebook: https://www.facebook.com/edurekaIN/
Twitter: https://twitter.com/edurekain
LinkedIn: https://www.linkedin.com/company/edureka

———————————————————–

#edureka #edurekaDatascience #artificialIntelligence #CognitiveAI

馃數 Post Graduate Program in AI and Machine Learning with Electronics & ICT Academy NIT Warangal (9 Months Online Program) : http://bit.ly/35vsasi

Subscribe to our channel to get video updates. Hit the subscribe button above: https://goo.gl/6ohpTV

Instagram: https://www.instagram.com/edureka_learning/
Slideshare: https://www.slideshare.net/EdurekaIN/
Facebook: https://www.facebook.com/edurekaIN/
Twitter: https://twitter.com/edurekain
LinkedIn: https://www.linkedin.com/company/edureka

——————————————————————————–

About the Masters Program

Edureka鈥檚 Machine Learning Certification Training using Python helps you gain expertise in various machine learning algorithms such as regression, clustering, decision trees, random forest, Na茂ve Bayes and Q-Learning. This Machine Learning using Python Training exposes you to concepts of Statistics, Time Series and different classes of machine learning algorithms like supervised, unsupervised and reinforcement algorithms. Throughout the Data Science Certification Course, you鈥檒l be solving real-life case studies on Media, Healthcare, Social Media, Aviation, HR.

——————————————————————————-

Why Go for this Course?

Data Science is a set of techniques that enables the computers to learn the desired behavior from data without explicitly being programmed. It employs techniques and theories drawn from many fields within the broad areas of mathematics, statistics, information science, and computer science. This course exposes you to different classes of machine learning algorithms like supervised, unsupervised and reinforcement algorithms. This course imparts you the necessary skills like data pre-processing, dimensional reduction, model evaluation and also exposes you to different machine learning algorithms like regression, clustering, decision trees, random forest, Naive Bayes and Q-Learning

———————————————————————————

Who should go for this course?

Edureka鈥檚 Python Machine Learning Certification Course is a good fit for the below professionals:
Developers aspiring to be a 鈥楳achine Learning Engineer’
Analytics Managers who are leading a team of analysts
Business Analysts who want to understand Machine Learning (ML) Techniques
Information Architects who want to gain expertise in Predictive Analytics
‘Python’ professionals who want to design automatic predictive models

If you are looking for live online training, write back to us at sales@edureka.in or call us at US: + 18338555775 (Toll-Free) or India: +91 9606058406 for more information.

In this video, we will learn about Automatic text generation using Tensorflow, Keras, and LSTM. Automatic text generation is the generation of natural language texts by computer. It has applications in automatic documentation systems, automatic letter writing, automatic report generation, etc. In this project, we are going to generate words given a set of input words. We are going to train the LSTM model using William Shakespeare鈥檚 writings.

Long Short-Term Memory (LSTM) networks are a modified version of recurrent neural networks, which makes it easier to remember past data in memory. Generally, LSTM is composed of a cell (the memory part of the LSTM unit) and three 鈥渞egulators鈥, usually called gates, of the flow of information inside the LSTM unit: an input gate, an output gate and a forget gate. Intuitively, the cell is responsible for keeping track of the dependencies between the elements in the input sequence. The input gate controls the extent to which a new value flows into the cell, the forget gate controls the extent to which a value remains in the cell and the output gate controls the extent to which the value in the cell is used to compute the output activation of the LSTM unit. The activation function of the LSTM gates is often the logistic sigmoid function. There are connections into and out of the LSTM gates, a few of which are recurrent. The weights of these connections, which need to be learned during training, determine how the gates operate.

馃攰 Watch till last for a detailed description
01:20 Text generation using TensorFlow, Keras, and LSTM
05:28 Get started with code
27:53 Build LSTM model and prepare x and y
42:25 LSTM model

馃憞馃憞馃憞馃憞馃憞馃憞馃憞馃憞馃憞馃憞馃憞馃憞馃憞馃憞
鉁 Kite is a free AI-powered coding assistant that will help you code faster and smarter. The Kite plugin integrates with all the top editors and IDEs to give you smart completions and documentation while you鈥檙e typing. I’ve been using Kite for 6 months and I love it! Get your FREE coding assistant today!!
https://www.kite.com/get-kite/?utm_medium=referral&utm_source=youtube&utm_campaign=kgptalkie&utm_content=description-only
—————————————————————

馃挴 Read Full Blog with Code
https://kgptalkie.com/text-generation-using-tensorflow-keras-and-lstm/
馃挰 Leave your comments and doubts in the comment section
馃搶 Save this channel and video for watch later
馃憤 Like this video to show your support and love 鉂わ笍

~~~~~~~~
馃啌 Watch My Top Free Data Science Videos
馃憠馃徎 Python for Data Scientist
https://bit.ly/3dETtFb
馃憠馃徎 Machine Learning for Beginners
https://bit.ly/2WOVh7N
馃憠馃徎 Feature Selection in Machine Learning
https://bit.ly/2YW6ZQH
馃憠馃徎 Text Preprocessing and Mining for NLP
https://bit.ly/31sYMUN
馃憠馃徎 Natural Language Processing (NLP)
Tutorials https://bit.ly/3dF1cTL
馃憠馃徎 Deep Learning with TensorFlow 2.0
and Keras https://bit.ly/3dFl09G
馃憠馃徎 COVID 19 Data Analysis and Visualization
Masterclass https://bit.ly/31vNC1U
馃憠馃徎 Machine Learning Model Deployment Using
Flask at AWS https://bit.ly/3b1svaD
馃憠馃徎 Make Your Own Automated Email Marketing
Software in Python https://bit.ly/2QqLaDy

***********
馃 BE MY FRIEND
馃實 Check Out ML Blogs: https://kgptalkie.com
馃惁Add me on Twitter: https://twitter.com/laxmimerit
馃搫 Follow me on GitHub: https://github.com/laxmimerit
馃摃 Add me on Facebook: https://facebook.com/kgptalkie
馃捈 Add me on LinkedIn: https://linkedin.com/in/laxmimerit
馃憠馃徎 Complete Udemy Courses: https://bit.ly/32taBK2
鈿 Check out my Recent Videos: https://bit.ly/3ldnbWm
馃敂 Subscribe me for Free Videos: https://bit.ly/34wN6T6
馃 Get in touch for Promotion: info@kgptalkie.com

鉁嶏笍馃弳馃弲馃巵馃帄馃帀鉁岋笍馃憣猸愨瓙猸愨瓙猸
ENROLL in My Highest Rated Udemy Courses
to 馃攽 Unlock Data Science Interviews 馃攷 and Tests

馃摎 馃摋 NLP: Natural Language Processing ML Model Deployment at AWS
Build & Deploy ML NLP Models with Real-world use Cases.
Multi-Label & Multi-Class Text Classification using BERT.
Course Link: https://bit.ly/bert_nlp

馃搳 馃搱 Data Visualization in Python Masterclass: Beginners to Pro
Visualization in matplotlib, Seaborn, Plotly & Cufflinks,
EDA on Boston Housing, Titanic, IPL, FIFA, Covid-19 Data.
Course Link: https://bit.ly/udemy95off_kgptalkie

馃摌 馃摍 Natural Language Processing (NLP) in Python for Beginners
NLP: Complete Text Processing with Spacy, NLTK, Scikit-Learn,
Deep Learning, word2vec, GloVe, BERT, RoBERTa, DistilBERT
Course Link: https://bit.ly/intro_nlp .

馃啌馃啌馃啌馃啌馃啌馃啌馃啌馃啌馃啌馃啌馃啌馃啌馃啌馃啌
Hello Everyone,
I would like to offer my Udemy courses for free. Course coupon is available only on the following days of the month, 1st & 2nd, 10th & 11th, 20th & 21st of every month. I will send FREE coupons only on these days. If you fill this form today, you will get the coupon in the next slot.

This offer is for a limited time. The only thing you need to do is thumbs up 馃憤 the video and Subscribe 鉁 to the KGP Talkie YouTube channel.

馃憞 Fill this form
https://forms.gle/THJXL9ZWuLdhzFmB9

Contact Us : rajadeva.d@gmail.com

Tags :

automation anywhere,
automation anywhere 10.2,
automation anywhere analytics,
automation anywhere ankur kothari,
automation anywhere architecture,
automation anywhere artificial intelligence,
automation anywhere banking,
automation anywhere blue prism,
automation anywhere bots,
automation anywhere case study,
automation anywhere ceo,
automation anywhere certification,
automation anywhere citrix,
automation anywhere coding,
automation anywhere cognitive,
automation anywhere control room,
automation anywhere controls,
automation anywhere course,
automation anywhere create exe,
automation anywhere dashboard,
automation anywhere data extraction,
automation anywhere database,
automation anywhere deloitte,
automation anywhere demo,
automation anywhere demo videos,
automation anywhere deployment,
automation anywhere development,
automation anywhere download,
automation anywhere email,
automation anywhere enterprise,
automation anywhere enterprise manual,
automation anywhere error handling,
automation anywhere example,
automation anywhere excel,
automation anywhere exception handling,
automation anywhere exe,
automation anywhere extract data,
automation anywhere extract table,
automation anywhere for beginners,
automation anywhere founder,
automation anywhere framework,
automation anywhere getting started,
automation anywhere global variables,
automation anywhere help,
automation anywhere image recognition,
automation anywhere installation,
automation anywhere integration,
automation anywhere interface,
automation anywhere interview questions,
automation anywhere introduction,
automation anywhere ipo,
automation anywhere iq bot,
automation anywhere keystrokes,
automation anywhere learn,
automation anywhere list variable,
automation anywhere mainframe,
automation anywhere medabot,
automation anywhere meta bot,
automation anywhere object cloning,
automation anywhere ocr,
automation anywhere online training,
automation anywhere overview,
automation anywhere pdf,
automation anywhere pdf download,
automation anywhere pdf integration,
automation anywhere quora,
automation anywhere robotics,
automation anywhere rpa,
automation anywhere rpa training,
automation anywhere samples,
automation anywhere sap,
automation anywhere screen scraping,
automation anywhere scripting language,
automation anywhere server,
automation anywhere software,
automation anywhere step by step,
automation anywhere stock,
automation anywhere string operation,
automation anywhere studio,
automation anywhere task editor,
automation anywhere terminal emulator,
automation anywhere tool,
automation anywhere training material,
automation anywhere training online,
automation anywhere trigger,
automation anywhere tutorial,
automation anywhere tutorial pdf,
automation anywhere tutorial videos,
automation anywhere tutorials,
automation anywhere tutorials youtube,
automation anywhere use case,
automation anywhere user guide,
automation anywhere variable operation,
automation anywhere variables,
automation anywhere vbscript,
automation anywhere video,
automation anywhere video tutorial,
automation anywhere vs blue prism,
automation anywhere vs openspan,
automation anywhere web data extraction,
automation anywhere web recorder,
automation anywhere web scraping,
automation anywhere webinar,
automation anywhere workflow designer,
automation anywhere xml,
automation anywhere youtube,
device anywhere automationrobotic process automation,
robotic process automation accenture,
robotic process automation accounting,
robotic process automation analytics,
robotic process automation anz,
robotic process automation architecture,
robotic process automation automation anywhere,
robotic process automation blue prism,
robotic process automation blue prism training,
robotic process automation blue prism tutorial,
robotic process automation deloitte,
robotic process automation demo,
robotic process automation developer,
robotic process automation examples,
robotic process automation excel,
robotic process automation explained,
robotic process automation ey,
robotic process automation how it works,
robotic process automation human resources,
robotic process automation ibm,
robotic process automation in accounting,
robotic process automation in banking,
robotic process automation in financial services,
robotic process automation in healthcare,
robotic process automation in sap,
robotic process automation pros and cons,
robotic process automation pwc,
robotic process automation recruitment,
robotic process automation roadmap,
robotic process automation rpa,
robotic process automation software,
robotic process automation thoughtonomy,
robotic process automation tools,
robotic process automation tutorial,
robotic process automation uipath,
robotic process automation use cases,
robotic process automation videos,

Access 7000+ courses for 15 days FREE: https://pluralsight.pxf.io/c/1291657/431340/7490

Android has an inbuilt feature speech to text through which you can provide speech input to your app. With this feature you can add some of the cool features to your app like adding voice navigation and it is very helpful when you are targeting disabled people.

In the background how voice input works is, the speech input will be streamed to a server, on the server voice will be converted to text and finally text will be sent back to our app. This tutorial can be followed by a beginner as the source code in github is also available.

Github Source Code: https://github.com/smartherd/SpeechToText/ .
.
Please donate and support my work
(If you think my free tutorials are better than paid ones 馃檪
– Patreon: https://bit.ly/patreon-donate
– Paypal/Payoneer: sriyank123@gmail.com
– UPI (only for India): smartherd@okaxis

:: If you want to develop a website or a mobile app, email me your requirement at sriyank.siddhartha@gmail.com :: Free demos provided beforehand ::

– Access my premium courses: https://bit.ly/sriyank-courses

Free Programming courses:
– Ruby Programming: https://bit.ly/smyt-r
– Dart Programming: https://bit.ly/smyt-d
– Kotlin Programming: https://bit.ly/smyt-k
– Java Programming: https://bit.ly/smyt-j

– Kotlin Coroutines: https://bit.ly/smyt-coru

Free Flutter course:
– Flutter App Development: https://bit.ly/2Rg7EFR

Free Android courses:
– Android using Kotlin: https://bit.ly/smyt-ka
– Android using Java: https://bit.ly/smyt-ja
– Android Material Design: https://bit.ly/2SMJqU6
– Android Jetpack Architecture: https://bit.ly/yt-j
– Android Multiple Screen Support: https://bit.ly/smyt-mss
– Android Retrofit: https://bit.ly/2Ee6GHn

More free programming courses:
– https://bit.ly/smy-list

Check out my website:
– https://bit.ly/smartherd

Let’s get in touch! [Sriyank Siddhartha]
LinkedIn: https://bit.ly/sriyank-linkedin
Facebook: https://bit.ly/smartherd-facebook
Instagram: https://bit.ly/sriyank-instagram
Twitter: https://bit.ly/sriyank-twitter
Github: https://bit.ly/smartherd-github

—- Thank you for your love and support —-

Deployment Videos Link :https://www.youtube.com/watch?v=bjsJOl8gz5k&list=PLZoTAELRMXVOAvUbePX1lTdxQR8EY35Z1

Please join as a member in my channel to get additional benefits like materials in Data Science, live streaming for Members and many more
https://www.youtube.com/channel/UCNU_lfiiWBdtULKOw6X0Dig/join

Please do subscribe my other channel too
https://www.youtube.com/channel/UCjWY5hREA6FFYrthD0rZNIw

Connect with me here:

Twitter: https://twitter.com/Krishnaik06

Facebook: https://www.facebook.com/krishnaik06

instagram: https://www.instagram.com/krishnaik06

Learn more advanced front-end and full-stack development at: https://www.fullstackacademy.com

Natural Language Processing (NLP) is a field of artificial intelligence that focuses on the interactions between computers and human language. In this Natural Language Processing Tutorial, we give an overview of NLP and its uses, before diving into the Natural library for Node.js and how easily you can use it for inflectors, string distance, classifications with machine learning, and term frequency using various algorithms.

Watch this video to learn:

– What is NLP
– Natural Language Processing use cases
– How to use the Natural library in Node.js

馃敟 Machine Learning Engineer Masters Program: https://www.edureka.co/masters-program/machine-learning-engineer-training
This Edureka Machine Learning Full Course video will help you understand and learn Machine Learning Algorithms in detail. This Machine Learning Tutorial is ideal for both beginners as well as professionals who want to master Machine Learning Algorithms. Below are the topics covered in this Machine Learning Tutorial for Beginners video:
00:00 Introduction
2:47 What is Machine Learning?
4:08 AI vs ML vs Deep Learning
5:43 How does Machine Learning works?
6:18 Types of Machine Learning
6:43 Supervised Learning
8:38 Supervised Learning Examples
11:49 Unsupervised Learning
13:54 Unsupervised Learning Examples
16:09 Reinforcement Learning
18:39 Reinforcement Learning Examples
19:34 AI vs Machine Learning vs Deep Learning
22:09 Examples of AI
23:39 Examples of Machine Learning
25:04 What is Deep Learning?
25:54 Example of Deep Learning
27:29 Machine Learning vs Deep Learning
33:49 Jupyter Notebook Tutorial
34:49 Installation
50:24 Machine Learning Tutorial
51:04 Classification Algorithm
51:39 Anomaly Detection Algorithm
52:14 Clustering Algorithm
53:34 Regression Algorithm
54:14 Demo: Iris Dataset
1:12:11 Stats & Probability for Machine Learning
1:16:16 Categories of Data
1:16:36 Qualitative Data
1:17:51 Quantitative Data
1:20:55 What is Statistics?
1:23:25 Statistics Terminologies
1:24:30 Sampling Techniques
1:27:15 Random Sampling
1:28:05 Systematic Sampling
1:28:35 Stratified Sampling
1:29:35 Types of Statistics
1:32:21 Descriptive Statistics
1:37:36 Measures of Spread
1:44:01 Information Gain & Entropy
1:56:08 Confusion Matrix
2:00:53 Probability
2:03:19 Probability Terminologies
2:04:55 Types of Events
2:05:35 Probability of Distribution
2:10:45 Types of Probability
2:11:10 Marginal Probability
2:11:40 Joint Probability
2:12:35 Conditional Probability
2:13:30 Use-Case
2:17:25 Bayes Theorem
2:23:40 Inferential Statistics
2:24:00 Point Estimation
2:26:50 Interval Estimate
2:30:10 Margin of Error
2:34:20 Hypothesis Testing
2:41:25 Supervised Learning Algorithms
2:42:40 Regression
2:44:05 Linear vs Logistic Regression
2:49:55 Understanding Linear Regression Algorithm
3:11:10 Logistic Regression Curve
3:18:34 Titanic Data Analysis
3:58:39 Decision Tree
3:58:59 what is Classification?
4:01:24 Types of Classification
4:08:35 Decision Tree
4:14:20 Decision Tree Terminologies
4:18:05 Entropy
4:44:05 Credit Risk Detection Use-case
4:51:45 Random Forest
5:00:40 Random Forest Use-Cases
5:04:29 Random Forest Algorithm
5:16:44 KNN Algorithm
5:20:09 KNN Algorithm Working
5:27:24 KNN Demo
5:35:05 Naive Bayes
5:40:55 Naive Bayes Working
5:44:25Industrial Use of Naive Bayes
5:50:25 Types of Naive Bayes
5:51:25 Steps involved in Naive Bayes
5:52:05 PIMA Diabetic Test Use Case
6:04:55 Support Vector Machine
6:10:20 Non-Linear SVM
6:12:05 SVM Use-case
6:13:30 k Means Clustering & Association Rule Mining
6:16:33 Types of Clustering
6:17:34 K-Means Clustering
6:17:59 K-Means Working
6:21:54 Pros & Cons of K-Means Clustering
6:23:44 K-Means Demo
6:28:44 Hierarchical Clustering
6:31:14 Association Rule Mining
6:34:04 Apriori Algorithm
6:39:19 Apriori Algorithm Demo
6:43:29 Reinforcement Learning
6:46:39 Reinforcement Learning: Counter-Strike Example
6:53:59 Markov’s Decision Process
6:58:04 Q-Learning
7:02:39 The Bellman Equation
7:12:14 Transitioning to Q-Learning
7:17:29 Implementing Q-Learning
7:23:33 Machine Learning Projects
7:38:53 Who is a ML Engineer?
7:39:28 ML Engineer Job Trends
7:40:43 ML Engineer Salary Trends
7:42:33 ML Engineer Skills
7:44:08 ML Engineer Job Description
7:45:53 ML Engineer Resume
7:54:48 Machine Learning Interview Questions

———–Edureka Machine Learning Training ————

馃數 Machine Learning Course using Python: http://bit.ly/38BaJco

馃數 Machine Learning Engineer Masters Program: http://bit.ly/2UYS46r

馃數Python Masters Program: https://bit.ly/3cVibjY

馃數 Python Programming Training: http://bit.ly/38ykZCg

馃數 Data Scientist Masters Program: http://bit.ly/31ZsWOn

PG in Artificial Intelligence and Machine Learning with NIT Warangal : https://www.edureka.co/post-graduate/machine-learning-and-ai

Post Graduate Certification in Data Science with IIT Guwahati – https://www.edureka.co/post-graduate/data-science-program
(450+ Hrs || 9 Months || 20+ Projects & 100+ Case studies)

——————————————————————————————————–

Instagram: https://www.instagram.com/edureka_learning
Twitter: https://twitter.com/edurekain
LinkedIn: https://www.linkedin.com/company/edureka

———————————————————————————————————-

Got a question on the topic? Please share it in the comment section below and our experts will answer it for you.

For more information, please write back to us at sales@edureka.in or call us at IND: 9606058406 / US: 18338555775 (toll-free).

Artificial intelligence 25 Predicate Logic In ai or predicate logic in artificial intelligence.
predicate logic is different from prepositional logic as predicate logic deals with relation and real world entity unlike prepositional logic which is based on true or false
predicate logic deals with 3 world entities known as
predicate object, predicate function predicate relation.
predicate logic has ability to represent facts about object
predicate logic enables to represent law and facts from real world entity
predicate syntax follow object , relation and function. this video is about predicate logic in artificial intelligence

Natural language processing is a subfield of computer science, information engineering, and artificial intelligence concerned with the interactions between computers and human languages, in particular how to program computers to process and analyze large amounts of natural language data. #ArtificialIntelligence #NaturalLanguageProcessing

Follow me on Instagram 馃憠 https://www.instagram.com/ngnieredteacher/
Visit my Profile 馃憠 https://www.linkedin.com/in/reng99/
Support my work on Patreon 馃憠 https://www.patreon.com/ranjiraj

Face Detection for NET using EMGU.CV in C# .NET Windows Forms Application.

Website: http://foxlearn.com

face recognition c# emgu cv example
face recognition in c# using emgu cv
face recognition in c# windows application
c# face matching
emgu cv dll
emgu cv image recognition library
face detection in c# source code
face recognition c# github
emgu cv image recognition library
emgu cv download
face detection and recognition in c# using emgu cv 3.0 opencv wrapper
c# solutions face detection recognition system

Program your computer to LISTEN to YOU + RESPOND! [C# Programming] It is extremely easy to do, and in a few minutes, you’ll be asking your computer to do tasks for you!

My Equipment:
Behringer UMC22: https://amzn.to/30hrpWj
Audio-Technica AT2020: https://amzn.to/31EYZSt

Link to have all English words in grammar without typing them: http://youtu.be/gEBWsLSRVL4
Program Code: http://goo.gl/zhMFV [Google Drive .txt file]
[If you just copy the code, remember to add the reference for speech recognition by going to the ‘references’ drop down area in the Solution Explorer, right-click on it, and click ‘Add Reference’. Click ‘.NET’ at the top, or ‘Framework’ on v.2012 and scroll down until you see ‘System.Speech’. Check the check box, and your copied code will now work!]

In this video I am going to show you how to setup a voice recognition system which allows your users to perform tasks using just their voice.

Follow me on Twitter:
http://www.twitter.com/JohnnyMansonIC

Watch the MoonLight OS Release Video:
https://www.youtube.com/watch?v=vyo6BJyakx4

Download MoonLight OS:
http://www.intracode.org/products.html

Intro Song:
Robot Koch – Hard To Find
http://www.amazon.com/Hard-To-Find/dp/B002TXL8K2-
https://www.youtube.com/watch?v=g9zFzKA2r5o
http://www.projectmooncircle.com
https://soundcloud.com/robot-koch
http://www.robotsdontsleep.com

Machine Learning Tutorial at Imperial College London:
Bayesian Nonparametrics and Priors over Functions
Carl Henrik Ek (University of Bristol)
November 22, 2017

Welcome to………
Db Foundation Bangladesh (DFB)

In this video, I show how to set up Google assistant on any Android phoen.
You know, Google assistance is a most powerful Artificial Intelligent.
You can ask any question to Google assistant, its will answer you accurately of your any kind of question.

All information of the world know google assistant.
Google really lunched this helpful way for Android user.
So we should to thanks Google Inc.

Process to set up:
First update ‘Google Play Service (beta)’ from play store.
Now Clear All Data from Google play service and google service from Setting/ App mmanagement/ Find App Google Play service & Google/Manage space /Clear All data.
Select Default US English language form setting.

Now go back home,
Press and hold Home button of your phone.
You are done. Now enjoy…
Thank you…

Here you can learn a lot about ICT/IT, education & more thing.
We are offering you to learn something about ICT from our channel, because if you are illiterate on ICT, You may be deceived in online.
We don’t post any fake, unworkable, fraud related video in our channel.
Our All video is very important to promote ICT knowledge.

We are trying to gain love & better response from our subscribers & we always given priority to our subscribers satisfaction.
Our objectives:
鈻篜romoting skill on ICT/IT.
鈻篠peaking against online Rogue.
鈻篟educing superstition.
鈻篍nhancing mobility of education.

Subscribe Our Channel: https://www.youtube.com/c/dbfoundationbangladesh

Contact with us through:
鈻篜ersonal Contact: https://www.facebook.com/saem.ibrahim
鈻篎acebook Page: https://www.facebook.com/dbfoundation.bd
鈻篍-mail: dbfoundation.bd@gmail.com

Thanks for watching our video……

Hey Guys,
Hope you enjoying my AI tutorials using Keras and Tensorflow.

This is the video for facial emotion recognition using CNN.
Transfer learning is the best way to perform such a complicated task.
For this task, we will classify the emotions from the frame coming directly through your webcam or any external live camera.

This is a realtime emotion detection easy tutorial using python and Keras.

You can use this video as realtime emotion detection using python.

Please do share and subscribe for more interesting videos.

Dataset :- https://drive.google.com/open?id=1E66iZdNz021aUZGsZjtc3EUu3NqAaIq3

Source Code :- https://github.com/code-by-dt/emotion_detection

Facial Landmark Detection OpenCV Too Easy Tutorial https://youtu.be/16bzzVaqKCk

Computer Vision Programs :- https://www.youtube.com/playlist?list=PLgNUGWgXIL4pWASWqSdAvYupEocaktF2D

—————PROGRAMMERS SECTION——————–

鉃ollow Me On Git Hub馃悎:-https://github.com/code-by-dt
鉃ollow Me On HackerRank:-https://www.hackerrank.com/code_by_dt
鉃oin me on Slack:- https://join.slack.com/t/codebydt/shared_invite/enQtNzcwMjU0Nzg0MzI0LWYwOGM2MDI4NjQxYmFiMDlhYzc2YjEwYjc1MTc0NmIxNzQzZWU3ZmJmMDcyNmQyMDVjYjI3YWRjOWEzNDdhMDE

Copyright Disclaimer Under Section 107 of the Copyright Act 1976, allowance is made for “fair use” for purposes such as criticism, comment, news reporting, teaching, scholarship, and research. Fair use is a use permitted by copyright statute that might otherwise be infringing. Non-profit, educational or personal use tips the balance in favour of fair use.

鈻柆鈽呪柆Social Media鈻柆鈽呪柆鈻

馃寪Facebook鉃 https://www.facebook.com/dttechupdates
馃寪Twitter鉃 https://www.twitter.com/dttechupdates
馃寪Instagram鉃 https://www.instagram.com/dttechupdates

鈻柆鈽呪柆Google Plus (G+)鈻槄鈻柆

Community鉃ttps://plus.google.com/u/0/communities/104307297318953975855

Don’t forget to:-

1. Like 馃憤
2. Subscribe
3. Share 鉂

This episode is all about taking your AE2 game to the next level. We’ll cover Quantum Link chambers which allow you to transmit your network wirelessly over an infinite distance, even cross-dimensionally! We’ll also dabble in a little bit of sub-networking but the majority of the video is devoted to the power of P2P tunnels which allow for some seriously compact setups.

[QUICK JUMP]
0:15 – Quantum Link Chambers
2:52 – P2P Tunnels (all variants except ME)
7:55 – P2p Tunnels – ME
14:16 – Sub Networks
18:13 – Visualizing P2P & Compact setups

[More AE2 Tutorials]
AE2 – EP01 – A Beginner’s Guide – https://youtu.be/AjrMS4EhBEU
AE2 – EP02 – Your First Network – https://youtu.be/sD2GknUv1cM
AE2 – EP03 – Autocrafting – https://youtu.be/os5EYegEudE

P2P Conversion Recipes:
http://ae-mod.info/P2P-Tunnel/

[MODPACK & MOD VERSION]
DW20 1.12
Applied Energistics 2 rv5-stable-4

ABOUT US]
We are TheMindCrafters and we make tutorials/LPs/and Spotlights on our favorite (and guest requested) Minecraft mods, blocks, and modpacks
Our Site – http://theMindCrafters.com
Live Chat – http://theMindCrafters.com/#chat

( **Natural Language Processing Using Python: – https://www.edureka.co/python-natural-language-processing-course ** )
This video will provide you with a detailed and comprehensive knowledge of the two important aspects of Natural Language Processing ie. Stemming and Lemmatization. It will also provide you with the differences between the two with Demo on each. Following are the topics covered in this video:

0:46 – Introduction to Big Data
1:45 – What is Text Mining?
2:09- What is NLP?
3:48 – Introduction to Stemming
8:37 – Introduction to Lemmatization
10:03 – Applications of Stemming & Lemmatization
11:04 – Difference between stemming & Lemmatization

Subscribe to our channel to get video updates. Hit the subscribe button above https://goo.gl/6ohpTV

———————————————————————————————–
Instagram: https://www.instagram.com/edureka_learning/
Facebook: https://www.facebook.com/edurekaIN/
Twitter: https://twitter.com/edurekain
LinkedIn: https://www.linkedin.com/company/edureka
———————————————————————————————–

– – – – – – – – – – – – – –

How it Works?

1. This is 21 hrs of Online Live Instructor-led course. Weekend class: 7 sessions of 3 hours each.
2. We have a 24×7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course.
3. At the end of the training you will have to undergo a 2-hour LIVE Practical Exam based on which we will provide you a Grade and a Verifiable Certificate!

– – – – – – – – – – – – – –

About the Course

Edureka’s Natural Language Processing using Python Training focuses on step by step guide to NLP and Text Analytics with extensive hands-on using Python Programming Language. It has been packed up with a lot of real-life examples, where you can apply the learnt content to use. Features such as Semantic Analysis, Text Processing, Sentiment Analytics and Machine Learning have been discussed.

This course is for anyone who works with data and text鈥 with good analytical background and little exposure to Python Programming Language. It is designed to help you understand the important concepts and techniques used in Natural Language Processing using Python Programming Language. You will be able to build your own machine learning model for text classification. Towards the end of the course, we will be discussing various practical use cases of NLP in python programming language to enhance your learning experience.

————————–

Who Should go for this course ?

Edureka鈥檚 NLP Training is a good fit for the below professionals:
From a college student having exposure to programming to a technical architect/lead in an organisation
Developers aspiring to be a 鈥楧ata Scientist’
Analytics Managers who are leading a team of analysts
Business Analysts who want to understand Text Mining Techniques
‘Python’ professionals who want to design automatic predictive models on text data
“This is apt for everyone鈥

———————————

Why Learn Natural Language Processing or NLP?

Natural Language Processing (or Text Analytics/Text Mining) applies analytic tools to learn from collections of text data, like social media, books, newspapers, emails, etc. The goal can be considered to be similar to humans learning by reading such material. However, using automated algorithms we can learn from massive amounts of text, very much more than a human can. It is bringing a new revolution by giving rise to chatbots and virtual assistants to help one system address queries of millions of users.

NLP is a branch of artificial intelligence that has many important implications on the ways that computers and humans interact. Human language, developed over thousands and thousands of years, has become a nuanced form of communication that carries a wealth of information that often transcends the words alone. NLP will become an important technology in bridging the gap between human communication and digital data.

———————————

For more information, Please write back to us at sales@edureka.co or call us at IND: 9606058406 / US: 18338555775 (toll free).

** Edureka RPA Training (Use Code: YOUTUBE20) : https://www.edureka.co/robotic-process-automation-certification-courses **
This Edureka Robotic Process Automation Full Course video will help you understand and learn RPA in detail. This RPA Tutorial is ideal for both beginners as well as professionals who want to master RPA tools such as UiPath & Automation Anywhere. Below are the topics covered in this RPA tutorial video:
1:56 Introduction to RPA
2:26 Why RPA?
8:46 What is RPA?
10:16 RPA Tools
10:26 RPA Lifecycle
11:01 Discovery Phase
14:36 Solution Design Phase
17:35 Development Phase
18:16 UAT
18:51 Deployment Phase
19:21 Execute Bots
22:31 Introduction to UiPath
23:01 UiPath Studio
23:11 UiPath Installation
25:36 UiPath Studio Projects
29:46 UiPath Studio Ribbon Components
40:01 UiPath Studio Activity Pane Components
42:41 UIPath Studio Properties Pane
43:16 UiPath Studio Output Pane
49:46 UiPath RPA Architecture
50:11 UiPath Platform Components
50:21 UiPath Studio
52:21 UiPath Orchestrator
55:21 UiPath Architecture
58:11 Variables, Data Types & Activities in UiPath
1:03:11 Types of Variables
1:08:56 Data Types
1:10:16 Activities
1:12:16 Message Box
1:15:51 Write CSV Activity
1:18:56 If Activity
1:21:51 For Each Activity
1:24:41 While Activity
1:27:31 Do While Activity
1:29:06 Switch Activity
1:31:26 Automations in UiPath
1:31:31 Why Excel Automation?
1:32:21 Installing Excel Activities in UiPath Studio
1:33:46 Demo; Automating the Filling of a Form
1:48:06 UiPath Selectors
1:48:51 What are Selectors?
1:51:16 Why do we need Selectors in UiPAth?
1:53:26 Demo: Selectors in UiPath
2:21:51 UiPath Web Automation
2:24:01 Hands-on: Web Scraping of Google Contacts
2:24:01 Hands-on: Extracting Data From E-Commerce Website
2:46:26 UiPath PDF Automation
2:48:01 Types of PDF Activities
2:49:43 Demo: Extracting Large Texts
3:03:08 Demo: Extracting Specific Element
3:11:58 UiPath Email Automation
3:15:03 Demo: UiPath Email Automation
3:45:53 UiPath Citrix Automation
3:46:18 Automating Virtual Machine
3:48:53 Why Citrix Automation?
3:49:53 Hands-on: Simple Desktop Application
3:59:18 Debugging & Error Handling in UiPath
3:59:43 Debugging in UiPath
4:17:33 Exception Handling in UiPath
4:22:08 UiPath Tips & Tricks
4:29:28 Orchestrator in UiPath
4:33:38 UiPath Orchestrator Community Edition
5:06:23 UiPath ReFramework
5:06:38 Why Re-Framework?
5:08:48 What is Re-Framework?
5:12:38 How to use Re-Framework?
5:14:43 Re-Framework Architecture
5:18:11 INIT State
5:32:01 Get Transaction Data State
5:39:13 Process Transaction State
5:54:28 End Process State
5:58:18 RPA & UiPath Interview Questions
7:11:50 Introduction to Automation Anywhere
7:11:55 What is Automation Anywhere?
7:12:55 Automation Anywhere Architecture
7:15:30 Products of Automation Anywhere
7:23:50 Industries Using Automation Anywhere
7:28:05 Automation Anywhere Installation
7:44:50 Install & Setup Client
7:49:00 Control Room & Bots
7:49:35 Automation Anywhere Architecture
7:52:40 Control Room Components
8:02:10 Hands-on
8:06:30 Automation Anywhere Bots
8:08:00 Types of Automation Anywhere Bots
8:08:20 Task Bots
8:10:50 Meta Bots
8:25:20 IQ Bots
8:27:08 Products of Automation Anywhere
8:28:13 Automation Anywhere Examples
8:28:53 Windows Action
8:33:08 Mouse Clicks
8:35:58 String Operations
8:41:23 Files & Folders
8:44:38 Web Recorders
8:49:34 OCR
8:51:49 Key Strokes
8:53:14 REST Web Services
8:55:39 Excel Automation
9:04:14 PDF Automation
9:15:24 Automation Anywhere Interview Questions
9:17:04 Basic Questions
9:33:19 Tool-based Questions
9:57:04 Scenario-based Questions

——————————————————————————————————–

Instagram: https://www.instagram.com/edureka_learning
Facebook: https://www.facebook.com/edurekaIN/
Twitter: https://twitter.com/edurekain
LinkedIn: https://www.linkedin.com/company/edureka

———————————————————————————————————-

Got a question on the topic? Please share it in the comment section below and our experts will answer it for you.

For more information, please write back to us at sales@edureka.in or call us at IND: 9606058406 / US: 18338555775 (toll-free).

Laws for converting Preposition logic statement into more complex statements for solutions of given problem by using resolution which uses negotiation of a given statement

github url :https://github.com/krishnaik06/Google-Cloud-Platform-Deployment

Please join as a member in my channel to get additional benefits like materials in Data Science, live streaming for Members and many more
https://www.youtube.com/channel/UCNU_lfiiWBdtULKOw6X0Dig/join

Please do subscribe my other channel too
https://www.youtube.com/channel/UCjWY5hREA6FFYrthD0rZNIw

Connect with me here:

Twitter: https://twitter.com/Krishnaik06

Facebook: https://www.facebook.com/krishnaik06

instagram: https://www.instagram.com/krishnaik06

DARPA SUPERHIT 2021 Play Now!Close

DARPA SUPERHIT 2021

(StoneBridge Mix)

Play Now!