Intelligent technology in egg factory;
smart machines, automatic machinery egg processing, egg collecting and egg separating machines.
Intelligent Technology Egg Processing Machines ★ Smart Machines Egg Collecting Separating in Factory

Natural Language Processing techniques allow addressing tasks like text classification and information extraction and content generation. They can give the perception of machines being able to understand humans and respond more naturally.

In this session, Barbara will introduce basic concepts of natural language processing. Using Python and its machine learning libraries the attendees will go through the process of building the bag of words representation and using it for text classification. It can be then used to recognise the sentiment, category or the authorship of the document.
The goal of this tutorial is to build the intuition on the simple natural language processing task. After this session, the audience will know basics of the text representation, learn how to develop the classification model and use it in real-world applications.

NDC Conferences
https://ndcminnesota.com
https://ndcconferences.com

Learn most important Natural Language Processing Interview Questions and Answers, asked at every Artificial Intelligence interview. These Interview questions will be useful to all entry level candidates, beginners, interns and experienced candidates interviewing for the role of NLP Engineer, NLP Researcher, NLP Intern etc.
The examples and sample answers with each question will make it easier for candidates to understand these conceptual, general and situational interview questions.

Our Websites:
https://www.tutorialride.com/
https://www.careerride.com/

#NaturalLanguageProcessing #NLPInterview #NLPForBeginners

Natural Language Processing , Natural Language Processing (NLP) refers to AI method of communicating with an intelligent systems using a natural language such as English.
Natural Language Understanding (NLU)
Natural Language Generation (NLG)

Natural Language Processing, or NLP, is made up of Natural Language Understanding and Natural Language Generation. NLU helps the machine understand the intent of the sentence or phrase using profanity filtering, sentiment detection, topic classification, entity detection, and more.

In this episode, Tia breaks down the differences between NLP, NLU, and NLG, and explains how Deep Learning plays a role in getting you better search results, faster.

For more information on all things AI, subscribe to the Lucid Thoughts channel!

Presentation by Catherine Henry (2017 Clearwater DevCon).
When teaching a subject through text it can be beneficial to evaluate the reader’s understanding; however, the creation of relevant questions and answers can be time-consuming and tedious. I will walk through how the implementation of NLP libraries and algorithms can assist in, and potentially remove altogether, the current necessity of an individual manually formulating these tests.

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

Natural language processing is a subfield of artificial intelligence (AI) concerned with the interactions between computers and human languages. It was formulated to build software that generates and comprehends natural languages so that a user can have natural conversations with the computer instead of through programming or artificial languages like Java or C. In this video, we will be learning all about Natural Language Processing (NLP), its various aspects and what the future holds for NLP.
Stay tuned to learn more about NLP with Great Learning!
#NaturalLanguageProcessing #ArtificialIntelligence #GreatLearning

Read more on NLP:
https://www.mygreatlearning.com/blog/natural-language-processing-tutorial/

About Great Learning:

– Great Learning is an online and hybrid learning company that offers high-quality, impactful, and industry-relevant programs to working professionals like you. These programs help you master data-driven decision-making regardless of the sector or function you work in and accelerate your career in high growth areas like Data Science, Big Data Analytics, Machine Learning, Artificial Intelligence & more.

– Watch the video to know ”Why is there so much hype around ‘Artificial Intelligence’?” https://www.youtube.com/watch?v=VcxpB…

– What is Machine Learning & its Applications? https://www.youtube.com/watch?v=NsoHx…

– Do you know what the three pillars of Data Science? Here explaining all about the pillars of Data Science: https://www.youtube.com/watch?v=xtI2Q…

– Want to know more about the careers in Data Science & Engineering? Watch this video: https://www.youtube.com/watch?v=0Ue_p…

– For more interesting tutorials, don’t forget to Subscribe our channel: https://bit.ly/2s92TDX

– Learn More at: https://www.greatlearning.in/

For more updates on courses and tips follow us on:

– Google Plus: https://plus.google.com/u/0/108438615…

– Facebook: https://www.facebook.com/GreatLearnin…

– LinkedIn: https://www.linkedin.com/company/grea…

– Follow our Blog: https://www.greatlearning.in/blog/

Natural language processing allows computers to understand human language. It has plenty of applications. For example:
Text summarization, translation, keyword generation, sentiment analysis or chat bots.

So how it works? Let’s take a closer look at it.

Please Like and Subscribe for more weekly videos!

Follow me on Twitter: https://twitter.com/thecompscirocks
Follow me on Instagram: https://www.instagram.com/thecompscirocks/
Follow me on Facebook: https://www.facebook.com/thecompscirocks/

Some sources & further reading:
http://www.mind.ilstu.edu/curriculum/protothinker/natural_language_processing.php
https://nlp.stanford.edu/
https://research.google.com/pubs/NaturalLanguageProcessing.html
https://en.wikipedia.org/wiki/Natural_language_processing
https://en.wikipedia.org/wiki/Natural_language_understanding
https://en.wikipedia.org/wiki/Natural_language_generation
https://en.wikipedia.org/wiki/Tokenization_(lexical_analysis)
https://en.wikipedia.org/wiki/Syntax
https://en.wikipedia.org/wiki/Parsing
https://en.wikipedia.org/wiki/Context-free_grammar
https://en.wikipedia.org/wiki/Semantics
https://en.wikipedia.org/wiki/Pragmatics
https://en.wikipedia.org/wiki/Sentiment_analysis

Take the Full Course of Artificial Intelligence:-https://goo.gl/H5QdDU
What we Provide

1)28 Videos
2)Hand made Notes with problems for your to practice
3)Strategy to Score Good Marks in Artificial Intelligence

if you have any query related to buying the course feel free to email us : lastmomenttuitions@gmail.com

Our Other Courses
Engineering Mathematics 03 (videos + Handmade Notes) – https://bit.ly/2GaM8yY

Third Year Engineering Courses :

Semester 05 –

Database Management Systems – https://bit.ly/2lWJ4ir
Computer Networks – https://bit.ly/2mcoURH
microprocessor in – https://bit.ly/2mk7mDs

Semester 06 –

Software Engineering :- https://bit.ly/2lRb9bb

System Programming & Compiler Construction – https://bit.ly/2ma4Xei
Cryptography & System Security – https://bit.ly/2mdw7kw
Machine Learning – https://bit.ly/2Xp4dmH
Data Warehousing & Mining – https://bit.ly/2PRCqoP

Second Year Engineering Courses :

Engineering Mathematics 03 – https://bit.ly/2GaM8yY
Digital Logic Design & Analysis – https://bit.ly/2mlX0TB
Discrete Mathematics – https://bit.ly/2kAtbOJ
Electronic Circuits & Communication Fundamentals – https://bit.ly/2kdlmOu

Engineering Mathematics 04 – https://bit.ly/2lVXj77
Computer Organisation & Architecture – https://bit.ly/2lPFO8G
Analysis of Algorithms – https://bit.ly/2kLGKL8
Operating Systems – https://bit.ly/2lS0Van
Computer Graphics – https://bit.ly/2mdTzy3

Exclusive Courses :
Engineering Mathematics 03 (VIdeos + Handmade Notes) – https://bit.ly/2GaM8yY
Aptitude Preparation (with tips & tricks + Notes) – https://bit.ly/2kmlyLA

Other Engineering Courses :

Engineering Mathematics 1 – https://bit.ly/2lUPezA
Engineering Physics 1 – https://bit.ly/2lRbElo
Engineering Chemistry 1 – https://bit.ly/2kAOAY2
Basic Electrical Engineering – https://bit.ly/2kAJueoa
Engineering Mechanics – https://bit.ly/2kNxjuH

Engineering Mathematics 2 – https://bit.ly/2kASuQG
Engineering Physics 2 – https://bit.ly/2kNy0UP
Engineering Chemistry 2 – https://bit.ly/2kAtWr3
Engineering Drawing – https://bit.ly/2maYwHV
Structured Programming Approach – https://bit.ly/2kNxKVR

Digital Signal & Image Processing – https://bit.ly/2lOqUzE
Mobile Communication & Computing – https://bit.ly/2lOqKIy
Artificial Intelligence & Soft Computing – https://bit.ly/2mgKk0b
Big Data Analysis – https://bit.ly/2mdvPtW
Technical & Placement Preparation :

Interview Series – https://bit.ly/2ki9U4l
Python (Beginners) – https://bit.ly/2mgLR6r
Arduino (Beginners) – https://bit.ly/2mj7dAb
UML Diagrams – https://bit.ly/2mj54od
SQL (Beginners) – https://bit.ly/2lPDAGm

🔥Intellipaat natural language processing in python course: https://intellipaat.com/nlp-training-course-using-python/
In this natural language processing tutorial video you will learn what is natural language, text mining in nlp, file handling in python, nltk package, tokenization, frequency distribution, stop words and the concepts of bi grams, tri grams and n grams in detail.
#NaturalLanguageProcessingNLPinPython #NaturalLanguageProcessingTutorial #NaturalLanguageProcessing #Intellipaat

📌 Do subscribe to Intellipaat channel & get regular updates on videos: https://goo.gl/hhsGWb

📕Read complete AI tutorial here: https://intellipaat.com/tutorial/artificial-intelligence-tutorial/

📔Interested to learn AI still more? Please check similar what is AI blog here: https://intellipaat.com/blog/what-is-artificial-intelligence/

📝Interested to read about AI certificationS? Please check similar blog here: https://intellipaat.com/blog/artificial-intelligence-certification/

🔗Watch complete AI tutorials here: https://bit.ly/2YTKB7u

Are you looking for something more? Enroll in our natural language processing Course and become a certified professional (https://intellipaat.com/nlp-training-course-using-python/). It is a 20 hrs instructor led training provided by Intellipaat which is completely aligned with industry standards and certification bodies.

If you’ve enjoyed this nlp tutorial, Like us and Subscribe to our channel for more similar tutorials.
Got any questions about how natural language processing python works? 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 natural language processing tutorial?

NLP market is speculated to grow to US$26.4 billion by 2024 with CAGR of 21%. One of the principal disciplines of AI, Natural language processing is used to solve uses analysis tools to read data from large amounts of natural language data to arrive at meaningful conclusions. It involves using the ML algorithms to recognize, categorize, and extract natural language rules to transform unstructured language data into a form that computers can understand.

Why Artificial Intelligence is important?

Artificial Intelligence is taking over each and every industry domain. Machine Learning and especially Deep Learning are the most important aspects of Artificial Intelligence that are being deployed everywhere from search engines to online movie recommendations. Taking the Intellipaat deep learning training & Artificial Intelligence Course can help professionals to build a solid career in a rising technology domain and get the best jobs in top organizations.

Why should you opt for a Artificial Intelligence career?

If you want to fast-track your career then you should strongly consider Artificial Intelligence. The reason for this is that it is one of the fastest growing technology. There is a huge demand for professionals in Artificial Intelligence. The salaries for A.I. Professionals is fantastic.There is a huge growth opportunity in this domain as well. Hence this Intellipaat Artificial Intelligence tutorial & deep learning tutorial is your stepping stone to a successful career!
——————————
For more Information:
Please write us to sales@intellipaat.com, or call us at: +91- 7847955955
Website: https://intellipaat.com/nlp-training-course-using-python/

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

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

Twitter: https://twitter.com/Intellipaat

Telegram: https://t.me/s/Learn_with_Intellipaat

Instagram: https://www.instagram.com/intellipaat

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

Using AutoML NLP (Natural Language Processing) to classify and predict multilabel texts with a custom model. The demo consists of 3 parts:
– Uploading dataset
– Training
– Evaluating results and prediction

Download .csv here: https://cloud.google.com/natural-language/automl/docs/sample/happiness.csv

Thank you!

This six-part video series goes through an end-to-end Natural Language Processing (NLP) project in Python to compare stand up comedy routines.

– Natural Language Processing (Part 1): Introduction to NLP & Data Science
– Natural Language Processing (Part 2): Data Cleaning & Text Pre-Processing in Python
– Natural Language Processing (Part 3): Exploratory Data Analysis & Word Clouds in Python
– Natural Language Processing (Part 4): Sentiment Analysis with TextBlob in Python
– Natural Language Processing (Part 5): Topic Modeling with Latent Dirichlet Allocation in Python
– Natural Language Processing (Part 6): Text Generation with Markov Chains in Python

All of the supporting Python code can be found here: https://github.com/adashofdata/nlp-in-python-tutorial

This six-part video series goes through an end-to-end Natural Language Processing (NLP) project in Python to compare stand up comedy routines.

– Natural Language Processing (Part 1): Introduction to NLP & Data Science
– Natural Language Processing (Part 2): Data Cleaning & Text Pre-Processing in Python
– Natural Language Processing (Part 3): Exploratory Data Analysis & Word Clouds in Python
– Natural Language Processing (Part 4): Sentiment Analysis with TextBlob in Python
– Natural Language Processing (Part 5): Topic Modeling with Latent Dirichlet Allocation in Python
– Natural Language Processing (Part 6): Text Generation with Markov Chains in Python

All of the supporting Python code can be found here: https://github.com/adashofdata/nlp-in-python-tutorial

notes-https://viden.io/knowledge/image-processing-1

UiPath Robot at work – Entering invoice data into SAP.
The robot opens the email, downloads and reads a PDF invoice. It then logs in SAP, enters all the required data and parks the invoice. It then confirms the successful execution and moves the email from the NPO Invoices to the Processed folder.

This six-part video series goes through an end-to-end Natural Language Processing (NLP) project in Python to compare stand up comedy routines.

– Natural Language Processing (Part 1): Introduction to NLP & Data Science
– Natural Language Processing (Part 2): Data Cleaning & Text Pre-Processing in Python
– Natural Language Processing (Part 3): Exploratory Data Analysis & Word Clouds in Python
– Natural Language Processing (Part 4): Sentiment Analysis with TextBlob in Python
– Natural Language Processing (Part 5): Topic Modeling with Latent Dirichlet Allocation in Python
– Natural Language Processing (Part 6): Text Generation with Markov Chains in Python

All of the supporting Python code can be found here: https://github.com/adashofdata/nlp-in-python-tutorial

Not sure what natural language processing is and how it applies to you? In this video, we lay out the basics of natural language processing so you can better understand what it is, how it works, and how it’s being used in the real world today.

To learn more on how SparkCognition is taking artificial intelligence into the real world, check out our DeepNLP solution: http://bit.ly/2VsFv4I

Much of the Text Mining needed in real-life boils down to Text Classification: be it prioritising e-mails received by Customer Care, categorising Tweets aired towards an Organisation, measuring impact of Promotions in Social Media, and (Aspect based) Sentiment Analysis of Reviews. These techniques can not only help gauge the customer’s feedback, but also can help in providing users a better experience.

Traditional solutions focused on heavy domain-specific Feature Engineering, and thats exactly where Deep Learning sounds promising!

We will depict our foray into Deep Learning with these classes of Applications in mind. Specifically, we will describe how we tamed Deep Convolutional Neural Network, most commonly applied to Computer Vision, to help classify (short) texts, attaining near-state-of-the-art results on several SemEval tasks consistently, and a few tasks of importance to Flipkart.

In this talk, we plan to cover the following:

Basics of Deep Learning as applied to NLP: Word Embeddings and its compositions a la Recursive Neural Networks, Convolutional Neural Networks, and Recurrent Neural Networks.

New Experimental results on an array of SemEval / Flipkart’s internal tasks: e.g. Tweet Classification and Sentiment Analysis. (As an example we achieved 95% accuracy in binary sentiment classification task on our datasets – up from 85% by statistical models)

Share some of the learnings we have had while deploying these in Flipkart!

Here is a mindmap explaining the flow of content and key takeawys for the audience: https://atlas.mindmup.com/2015/06/4cbcef50fa6901327cdf06dfaff79cf0/deep_learning_for_natural_language_proce/index.html

We have decided to open source the code for this talk as a toolkit. https://github.com/flipkart-incubator/optimus Feel free to use it to train your own classifiers, and contribute!

( **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– 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’s 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 ‘Data 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”

———————————

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).

Lecture Series on Artificial Intelligence by Prof.Sudeshna Sarkar and Prof.Anupam Basu, Department of Computer Science and Engineering,I.I.T, Kharagpur . For more details on NPTEL visit http://nptel.iitm.ac.in.

Extreme Modern Wood Cutting Machines Intelligent Equipment Factory Processing Huge Wood

** Data Science Certification using R: https://www.edureka.co/data-science-r-programming-certification-course **
In this video on Text Mining In R, we’ll be focusing on the various methodologies used in text mining in order to retrieve useful information from data. The following topics are covered in this session:

(01:18) Need for Text Mining
(03:56) What Is Text Mining?
(05:42) What is NLP?
(07:00) Applications of NLP
(08:33) Terminologies in NLP
(14:09) Demo

Blog Series: http://bit.ly/data-science-blogs

Data Science Training Playlist: http://bit.ly/data-science-playlist

– – – – – – – – – – – – – – – – –

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

– – – – – – – – – – – – – – – – –

#textmining #textminingwithr #naturallanguageprocessing #datascience #datasciencetutorial #datasciencewithr #datasciencecourse #datascienceforbeginners #datasciencetraining #datasciencetutorial

– – – – – – – – – – – – – – – – –

About the Course

Edureka’s Data Science course will cover the whole data lifecycle ranging from Data Acquisition and Data Storage using R-Hadoop concepts, Applying modeling through R programming using Machine learning algorithms and illustrate impeccable Data Visualization by leveraging on ‘R’ capabilities.

– – – – – – – – – – – – – –

Why Learn Data Science?

Data Science training certifies you with ‘in demand’ Big Data Technologies to help you grab the top paying Data Science job title with Big Data skills and expertise in R programming, Machine Learning and Hadoop framework.

After the completion of the Data Science course, you should be able to:

1. Gain insight into the ‘Roles’ played by a Data Scientist
2. Analyze Big Data using R, Hadoop and Machine Learning
3. Understand the Data Analysis Life Cycle
4. Work with different data formats like XML, CSV and SAS, SPSS, etc.
5. Learn tools and techniques for data transformation
6. Understand Data Mining techniques and their implementation
7. Analyze data using machine learning algorithms in R
8. Work with Hadoop Mappers and Reducers to analyze data
9. Implement various Machine Learning Algorithms in Apache Mahout
10. Gain insight into data visualization and optimization techniques
11. Explore the parallel processing feature in R

– – – – – – – – – – – – – –

Who should go for this course?

The course is designed for all those who want to learn machine learning techniques with implementation in R language, and wish to apply these techniques on Big Data. The following professionals can go for this course:

1. Developers aspiring to be a ‘Data Scientist’
2. Analytics Managers who are leading a team of analysts
3. SAS/SPSS Professionals looking to gain understanding in Big Data Analytics
4. Business Analysts who want to understand Machine Learning (ML) Techniques
5. Information Architects who want to gain expertise in Predictive Analytics
6. ‘R’ professionals who want to captivate and analyze Big Data
7. Hadoop Professionals who want to learn R and ML techniques
8. Analysts wanting to understand Data Science methodologies.

For online Data Science training, please write back to us at sales@edureka.co or call us at IND: 9606058406 / US: 18338555775 (toll-free) for more information.

Overview and demo of using Apache OpenNLP library in R to perform basic Natural Language Processing (NLP) tasks like string tokenizing, word tokenizing, Parts of Speech (POS) tokenizing

This is a getting started guide covering demos of OpenNLP coding in R

The field of natural language processing has undergone many big changes during the past years. In this introductory talk we will briefly discuss what the biggest challenges in natural language processing are, and then dive into an overview of the most important deep learning milestones in NLP. We will namely cover word embeddings, recurrent neural networks for language modeling and machine translation, and the recent boom of Transformer-based models.

Slides: https://bit.ly/jiri-materna-2020-slides

Speaker:
Jiří Materna: He is a machine learning expert with machine learning experience in industry since 2007. After finishing his Ph.D., he was working as the head of research at Seznam.cz and now offers machine learning solutions and consulting as a freelancer. He is the founder and lecturer at Machine Learning College and the organizer of an international conference Machine Learning Prague.

Location / Místo: Prague, Czech Republic

Website: http://www.mlmu.cz
Slack: http://www.mlmu.cz/slack
Meetup.com: http://www.mlmu.cz/meetup-com
Facebook: http://www.mlmu.cz/facebook
Twitter: https://twitter.com/mlmucz

📚📚📚📚📚📚📚📚
GOOD NEWS FOR COMPUTER ENGINEERS
INTRODUCING
5 MINUTES ENGINEERING
🎓🎓🎓🎓🎓🎓🎓🎓
SUBJECT :-
Artificial Intelligence(AI)

Database Management System(DBMS)

Software Modeling and Designing(SMD)

Software Engineering and Project Planning(SEPM)

Data mining and Warehouse(DMW)

Data analytics(DA)

Mobile Communication(MC)

Computer networks(CN)

High performance Computing(HPC)

Operating system
System programming (SPOS)

Web technology(WT)

Internet of things(IOT)

Design and analysis of algorithm(DAA)

💡💡💡💡💡💡💡💡
EACH AND EVERY TOPIC OF EACH AND EVERY SUBJECT (MENTIONED ABOVE) IN COMPUTER ENGINEERING LIFE IS EXPLAINED IN JUST 5 MINUTES.
💡💡💡💡💡💡💡💡
THE EASIEST EXPLANATION EVER ON EVERY ENGINEERING SUBJECT IN JUST 5 MINUTES.

🙏🙏🙏🙏🙏🙏🙏🙏
YOU JUST NEED TO DO
3 MAGICAL THINGS
LIKE
SHARE
&
SUBSCRIBE
TO MY YOUTUBE CHANNEL
5 MINUTES ENGINEERING

📚📚📚📚📚📚📚📚

► Link for Artificial Intelligence Playlist:
https://www.youtube.com/playlist?list…

► Link for Computer Networks Playlist:
https://www.youtube.com/playlist?list…

► Link for Operating System Playlist-
https://www.youtube.com/playlist?list…

► Link for Database Management System Playlist-
https://www.youtube.com/playlist?list…

► Link for Graph Theory Playlist-
https://www.youtube.com/playlist?list…

► Last Minutes Preparation for UGC NET and GATE Playlist-
https://www.youtube.com/playlist?list…

► Analysis of NTA UGC NET Dec 2018 CS :
https://www.youtube.com/watch?v=oKJ1M…

► Analysis of NTA UGC NET June-2018 :
https://www.youtube.com/watch?v=uTBdB…

► NTA UGC-NET Data Structure Paper analysis and previous year Questions Explanation:
https://www.youtube.com/watch?v=PZs7a…

► NTA UGC NET Algorithm & Data Structure Previous year Questions Explanation:
https://www.youtube.com/watch?v=akVtp…

► NTA UGC-NET C/C++ Paper analysis and previous year Questions Explanation
https://www.youtube.com/watch?v=bH7uT…

►MUST WATCH Before you start preparing for any competitive exam:
https://www.youtube.com/watch?v=KycO7…

► Schedule for NTA UGC NET Computer Science:
https://www.youtube.com/watch?v=_-UOs…

► New Syllabus of NTA UGC NET Computer Science:
https://www.youtube.com/watch?v=tBRgI…

► Previous year Questions Explanation of GATE, UGC-NET & PSUs:
https://www.youtube.com/playlist?list…

► Link for UGC-NET Mock Test Series Playlist:
https://www.youtube.com/playlist?list…

————————————————————————————————-
Our Social Links:

► Subscribe to our YouTube channel: https://www.youtube.com/gatesmashers

► Like Our page on Facebook – https://www.facebook.com/gatesmashers/

► Whatsapp: In order to receives updates about UGC NET Computer Science , Whatsapp your name to 9876444511. Save our number in your phonebook to receive updates on Whatsapp.

► For any Query and Suggestions-
gatesmashers2018@gmail.com
#NLP#AI#Applications

How to process human language in a Recurrent Neural Network (LSTM / GRU) in TensorFlow and Keras. Demonstrated on Sentiment Analysis of the IMDB dataset.

https://github.com/Hvass-Labs/TensorFlow-Tutorials

Vegetables Recognition Using Image Processing on Android Device
Student Project 2016
by
Ratchawut Keunmamuang
Sethikarn Shotuk

Part of Speech tagging does exactly what it sounds like, it tags each word in a sentence with the part of speech for that word. This means it labels words as noun, adjective, verb, etc. PoS tagging also covers tenses of the parts of speech.

This is normally quite the challenge, but NLTK makes this pretty darn simple!

sample code: http://pythonprogramming.net
http://hkinsley.com
https://twitter.com/sentdex
http://sentdex.com
http://seaofbtc.com

Natural language processing (NLP) is a field of computer science, artificial intelligence and computational linguistics concerned with the interactions between computers and human (natural) languages, and, in particular, concerned with programming computers to fruitfully process large natural language corpora.

Python for Data Science Certification Training Course: https://www.simplilearn.com/big-data-and-analytics/python-for-data-science-training?utm_campaign=Data-Science-NLP-6WpnxmmkYys&utm_medium=Tutorials&utm_source=youtube

Download the Machine Learning Career Guide to explore and step into the exciting world of Machine Learning, and follow the path towards your dream career- https://www.simplilearn.com/machine-learning-career-guide-pdf?utm_campaign=Data-Science-NLP-6WpnxmmkYys&utm_medium=Tutorials&utm_source=youtube

The Data Science with Python course is designed to impart an in-depth knowledge of the various libraries and packages required to perform data analysis, data visualization, web scraping, machine learning, and natural language processing using Python. The course is packed with real-life projects, assignment, demos, and case studies to give a hands-on and practical experience to the participants.

Mastering Python and using its packages: The course covers PROC SQL, SAS Macros, and various statistical procedures like PROC UNIVARIATE, PROC MEANS, PROC FREQ, and PROC CORP. You will learn how to use SAS for data exploration and data optimization.

Mastering advanced analytics techniques: The course also covers advanced analytics techniques like clustering, decision tree, and regression. The course covers time series, it’s modeling, and implementation using SAS.

As a part of the course, you are provided with 4 real-life industry projects on customer segmentation, macro calls, attrition analysis, and retail analysis.

Who should take this course?
There is a booming demand for skilled data scientists across all industries that make this course suited for participants at all levels of experience. We recommend this Data Science training especially for the following professionals:
1. Analytics professionals who want to work with Python
2. Software professionals looking for a career switch in the field of analytics
3. IT professionals interested in pursuing a career in analytics
4. Graduates looking to build a career in Analytics and Data Science
5. Experienced professionals who would like to harness data science in their fields
6. Anyone with a genuine interest in the field of Data Science

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

Get the android app: http://bit.ly/1WlVo4u
Get the iOS app: http://apple.co/1HIO5J0

William Lyon, Developer Relations Enginner, Neo4j:During this webinar, we’ll provide an overview of graph databases, followed by a survey of the role for graph databases in natural language processing tasks, including: modeling text as a graph, mining word associations from a text corpus using a graph data model, and mining opinions from a corpus of product reviews. We’ll conclude with a demonstration of how graphs can enable content recommendation based on keyword extraction.

This video will provide you with a comprehensive and detailed knowledge of Natural Language Processing, popularly known as NLP. You will also learn about the different steps involved in processing the human language like Tokenization, Stemming, Lemmatization and more. Python, NLTK, & Jupyter Notebook are used to demonstrate the concepts.

This tutorial was developed by Edureka.

🔗NLP Certification Training: https://goo.gl/kn2H8T

🔗Subscribe to the Edureka YouTube channel: https://www.youtube.com/user/edurekaIN

🔗Edureka Online Training: https://www.edureka.co/

Learn to code for free and get a developer job: https://www.freecodecamp.org

Read hundreds of articles on programming: https://medium.freecodecamp.org

And subscribe for new videos on technology every day: https://youtube.com/subscription_center?add_user=freecodecamp

We are providing a Final year IEEE project solution & Implementation with in short time. If anyone need a Details Please Contact us Mail: info@sdprosolutions.com Phone: 09842339884, 09688177392 Watch this also: https://www.youtube.com/channel/UCDv0caOoT8VJjnrb4WC22aw

ieee projects, ieee java projects , ieee dotnet projects, ieee android projects, ieee matlab projects, ieee embedded projects,ieee robotics projects,ieee ece projects, ieee power electronics projects, ieee mtech projects, ieee btech projects, ieee be projects,ieee cse projects, ieee eee projects,ieee it projects, ieee mech projects ,ieee e&I projects, ieee IC projects, ieee VLSI projects, ieee front end projects, ieee back end projects , ieee cloud computing projects, ieee system and circuits projects, ieee data mining projects, ieee image processing projects, ieee matlab projects, ieee simulink projects, matlab projects, vlsi project, PHD projects,ieee latest MTECH title list,ieee eee title list,ieee download papers,ieee latest idea,ieee papers,ieee recent papers,ieee latest BE projects,ieee B tech projects,ieee ns2 projects,ieee ns3 projects,ieee networking projects,ieee omnet++ projects,ieee hfss antenna projects,ieee ADS antenna projects,ieee LABVIEW projects,ieee bigdata projects,ieee hadoop projects,ieee network security projects. ieee latest MTECH title list,ieee eee title list,ieee download papers,ieee latest idea,ieee papers,ieee recent papers,ieee latest BE projects, download IEEE PROJECTS,ieee B tech projects,ieee 2015 projects. Image Processing ieee projects with source code,VLSI projects source code,ieee online projects.best projects center in Chennai, best projects center in trichy, best projects center in bangalore,ieee abstract, project source code, documentation ,ppt ,UML Diagrams,Online Demo and Training Sessions.,
Engineering Project Consultancy, IEEE Projects for M.Tech, IEEE Projects for BE,IEEE Software Projects,
IEEE Projects in Bangalore, IEEE Projects Diploma, IEEE Embedded Projects, IEEE NS2 Projects,
IEEE Cloud Computing Projects, Image Processing Projects, Project Consultants in Bangalore,
Project Management Consultants, Electrical Consultants, Project Report Consultants, Project Consultants For Electronics, College Project Consultants, Project Consultants For MCA, Education Consultants For PHD, Microsoft Project Consultants, Project Consultants For M Phil, Consultants Renewable Energy Project, Engineering Project Consultants, Project Consultants For M.Tech,
BE Project Education Consultants, Engineering Consultants, Mechanical Engineering Project Consultants,
Computer Software Project Management Consultants, Project Consultants For Electrical, Project Report Science, Project Consultants For Computer, ME Project Education Consultants, Computer Programming Consultants, Project Consultants For Bsc, Computer Consultants, Mechanical Consultants, BCA live projects institutes in Bangalore, B.Tech live projects institutes in Bangalore,MCA Live Final Year Projects Institutes in Bangalore,M.Tech Final Year Projects Institutes in Bangalore,B.E Final Year Projects Institutes in Bangalore , M.E Final Year Projects Institutes in Bangalore,Live Projects,Academic Projects, IEEE Projects, Final year Diploma, B.E, M.Tech,M.S BCA, MCA Do it yourself projects, project assistance with project report and PPT, Real time projects, Academic project guidance Bengaluru, projects at Bangalore, Bangalore at projects,Vlsi projects at Bangalore, Matlab projects at Bangalore, power electronics projects at Bangalore,ns2 projects at Bangalore,ns3 project at Bangalore,

Engineering Project Consultants bangalore, Engineering projects jobs Bangalore, Academic Project Guidance for Electronics, Free Synopsis, Latest project synopsiss ,recent ieee projects ,recent engineering projects ,innovative projects.
image processing projects, ieee matlab ldpc projects, ieee matlab DCT and DWT projects, ieee matlab Data hiding projects, ieee matlab steganography projects, ieee matlab 2D,3D projects, ieee matlab face detection projects, ieee matlab iris recognition projects, ieee matlab motion detection projects, ieee matlab image denoising projects, ieee matlab finger recognition projects, ieee matlab segmentation projects, ieee matlab preprocessing projects, ieee matlab biomedical projects.