Will AI Take Over the World – Delegates Speak on Artificial Intelligence & Machine Learning
https://acadgild.com/big-data/data-science-training-certification?aff_id=6003&source=youtube&account=xMVCkRgk7eU&campaign=youtube_channel&utm_source=youtube&utm_medium=delegates-speak-on-ai&utm_campaign=youtube_channel
This video is selected and uploaded by Acadgild to educate the people on Artificial Intelligence, Machine Learning, and Data Science. This video is not our property.

With the increasing technology revolution across the world, people have the disconcertion on their future and most of them have the following agitated questions towards AI and Machine Learning.

• Will AI Take Over the World
• Will AI Replace Humans
• Will AI End Humanity
• Will AI Replace Programmers
• Will AI Replace Doctors
• Will AI Rule the World
• Will AI Take Over Jobs

Go through the entire compilation to know the answers to all the above question by the world’s renown delegates as follows,
• Toby Walsh – Professor, AI. University of NSW Sydney.
• Sundar Pichai – CEO, Google
• Barack Obama – 44th President of USA
• Mary-Anne Williams – Professor, Social Robotics, University of Technology Sydney
• Jack Ma – Founder and Executive Chairman of Alibaba Group

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

Will AI Take Over the Jobs? | Jack Ma Speaks on AI Vs Machine Learning Vs Data Science

This video is selected and uploaded by Acadgild to educate the people on Artificial Intelligence, Machine Learning, and Data Science. This video is not our property.

The broader waves of Technology revolution like Artificial Intelligence and Machine Learning is sweeping the whole world. These are being heralded as the key to our civilization’s brightest future and tossed on technology’s over-reaching propeller heads. “Next 30 years will be Painful as the Machine Learning will take away your jobs if you are not creative and innovative enough”, says Jack Ma, Founder and Executive Chairman of Alibaba Group during an interview with CNBC pointing out data will be important to human life in the future by making machine to support the human beings instead of putting their jobs at stake.

Big Data and Hadoop Certification Training – https://acadgild.com/big-data/big-data-development-training-certification?aff_id=6003&source=youtube&account=Dd5j7ccujew&campaign=youtube_channel&utm_source=youtube&utm_medium=jackma&utm_campaign=youtube_channel

Data Science with Python, Deep Learning, and Tensor Flow – https://acadgild.com/big-data/deep-learning-course-training-certification?aff_id=6003&source=youtube&account=Dd5j7ccujew&campaign=youtube_channel&utm_source=youtube&utm_medium=jackma&utm_campaign=youtube_channel

Check out the steamy conversation between Jack Ma and CNBC’s David Faber.
#JackMa, #DavidFaber, #CNBC, #MachineLearning, #ArtificialIntelligence, #DataScientist, #BigDataandHadoop

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

Using previous pattern outcomes to help us begin to predict future outcomes.

Welcome to the Machine Learning for Forex and Stock analysis and automated trading tutorial series. In this series, you will be taught how to apply machine learning and pattern recognition principles to the field of stocks and forex.

This is especially useful for people interested in quantitative analysis and algo or high frequency trading. Even if you are not, the series will still be of great use to anyone interested in learning about machine learning and automatic pattern recognition, through a hands-on tutorial series.

Sentdex.com
Facebook.com/sentdex
Twitter.com/sentdex

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!)

🔥Edureka NIT Warangal Post Graduate Program on AI and Machine Learning: https://www.edureka.co/post-graduate/machine-learning-and-ai
This Edureka Tutorial on “Future Of AI/ML” talks about the future possibilities of artificial intelligence and Machine Learning and how we can get a job in AI/ML. Below are the topics covered in this tutorial:
What is AI/ML?
AI/ML Applications
Future Scope Of AI/ML
Key Skills Of AI/ML Specialist
How To Get A Job In AI/ML?

🔹Machine Learning Tutorial Playlist: https://goo.gl/UxjTxm

————Edureka Training and Certifications———–
🔵 Machine Learning Course using Python: http://bit.ly/37CWMcy
🟣 Machine Learning Engineer Masters Program: http://bit.ly/320TkHy
🔵 Deep Learning using TensorFlow: http://bit.ly/2P0M1dv
🟣 PG in Artificial Intelligence and Machine Learning with NIT Warangal: http://bit.ly/3d6aFEa
🔵 Post Graduate Certification in Data Science with IIT Guwahati: http://bit.ly/2Ubd6wB
(450+ Hrs || 9 Months || 20+ Projects & 100+ Case studies)

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/
Facebook: https://www.facebook.com/edurekaIN/
Twitter: https://twitter.com/edurekain
LinkedIn: https://www.linkedin.com/company/edureka
Telegram: https://t.me/edurekaupdates
SlideShare: https://www.slideshare.net/EdurekaIN

#edureka #AIedureka #MLedureka #FutureOfAIML #artificialIntelligence #machineLearning #PythonTutorial #PythonMachineLearning #PGP
– – – – – – – – – – – – – – – – –
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.

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.

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

Presented at Cognitive Computational Neuroscience (CCN) 2017 (http://www.ccneuro.org) held September 6-8, 2017.

**AI and Deep Learning with TensorFlow: https://www.edureka.co/ai-deep-learning-with-tensorflow **
This video on Deep Learning Projects will provide you with a list of the top open-source deep learning projects you must try in 2019.

Lung Cancer Detection: https://github.com/ddhaval04/Lung-Cancer-Detection
Google Tulip: https://github.com/GoogleCloudPlatform/tulip
Detectron: https://github.com/facebookresearch/Detectron
WaveGlow: https://github.com/NVIDIA/waveglow
Image Enlarging: https://ai.google/research/pubs/pub45953/
OpenCog: https://opencog.org/
DeepMiminc: https://github.com/xbpeng/DeepMimic
ImageOutpaninting: https://github.com/bendangnuksung/Image-OutPainting
IBM Watson: https://www.ibm.com/watson
Check out our playlist for more videos: http://bit.ly/2taym8X

Subscribe to our channel to get video updates. Hit the subscribe button above.
#DeepLearningProjects

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 Deep Learning in TensorFlow with Python Certification Training is curated by industry professionals as per the industry requirements & demands. You will master the concepts such as SoftMax function, Autoencoder Neural Networks, Restricted Boltzmann Machine (RBM) and work with libraries like Keras & TFLearn. The course has been specially curated by industry experts with real-time case studies.

——————————————————

Objectives:

Deep Learning in TensorFlow with Python Training is designed by industry experts to make you a Certified Deep Learning Engineer. The Deep Learning in TensorFlow course offers:
In-depth knowledge of Deep Neural Networks
Comprehensive knowledge of various Neural Network architectures such as Convolutional Neural Network, Recurrent Neural Network, Autoencoders
Implementation of Collaborative Filtering with RBM
The exposure to real-life industry-based projects which will be executed using TensorFlow library
Rigorous involvement of an SME throughout the AI & Deep Learning Training to learn industry standards and best practices
————————————————-

Why should one go for this course?

Deep Learning is one of the most accelerating and promising fields, among all the technologies available in the IT market today. To become an expert in this technology, you need structured training with the latest skills as per current industry requirements and best practices.

Besides strong theoretical understanding, you will be working on various real-life data projects using different neural network architectures as a part of the solution strategy.

Additionally, you will receive guidance from a Deep Learning expert who is currently working in the industry on real-life projects.

—————————————————

Skills that you will be learning:

Deep Learning and TensorFlow Concepts
Working with Convolutional Neural Network (CNN) and Recurrent Neural Network (RNN)
Proficiency in Long short-term memory (LSTM)
Implementing Keras, TFlearn, Autoencoders
Implementing Restricted Boltzmann Machine (RBM)
Knowledge of Neural Networks & Natural Language Processing (NLP)
Using Python with TensorFlow Libraries
Perform Text Analytics
Perform Text Processing
————————————————–

Who should go for this course?

The TensorFlow with Python Training is for all the professionals who are passionate about Deep Learning and want to go ahead and make their career as a Deep Learning Engineer. It is best suited for individuals who are:

Developers aspiring to be a ‘Data Scientist’
Analytics Managers who are leading a team of analysts
Business Analysts who want to understand Deep Learning (ML) Techniques
Information Architects who want to gain expertise in Predictive Analytics
Analysts wanting to understand Data Science methodologies

However, Deep learning is not just focused on one industry or skill set, it can be used by anyone to enhance their portfolio.

————————————————

*** Machine Learning Podcast – https://castbox.fm/channel/id1832236 ***
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

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

#AI vs #ML vs #DL
This Lecture Explains The Differences Among Artificial Intelligence,Machine Learning & Deep Learning (AI vs ML vs DL) .
Next Part:https://youtu.be/TTTeKaFDzGI
Artificial Intelligence Play List: https://www.youtube.com/playlist?list=PLLANTs44t4TWOdscV03UVWgHdmfEIudKD

( Machine Learning Engineer Masters Program: https://www.edureka.co/masters-program/machine-learning-engineer-training )
This video will provide you with detailed knowledge of who is a Machine Learning Engineer, what are the salary trends, the job trends and the correct format of an ML engineer’s resume. This video will also provide you with the job descriptions, roles and the skills required to become one successful ML Engineer.

————————–

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

Check out the entire Machine Learning Playlist: https://bit.ly/2NG9tK4

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)

#MachineLearningEngineer #MachineLearningEngineerSalary

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

————————————-

About the Masters Program

Edureka’s Machine Learning Engineer Masters Program makes you proficient in techniques like Supervised Learning, Unsupervised Learning and Natural Language Processing. It includes training on the latest advancements and technical approaches in Artificial Intelligence & Machine Learning such as Deep Learning, Graphical Models and Reinforcement Learning.

The Master’s Program Covers Topics LIke:
Python Programming
PySpark
HDFS
Spark SQL
Machine Learning Techniques and Artificial Intelligence Types
Tokenization
Named Entity Recognition
Lemmatization
Supervised Algorithms
Unsupervised Algorithms
Tensor Flow
Deep learning
Keras
Neural Networks
Bayesian and Markov’s Models
Inference
Decision Making
Bandit Algorithms
Bellman Equation
Policy Gradient Methods.

———————-

Prerequisites

There are no prerequisites for enrolment to the Masters Program. However, as a goodwill gesture, Edureka offers a complimentary self-paced course in your LMS on SQL Essentials to brush up on your SQL Skills. This program is designed and developed for an aspirant planning to build a career in Machine Learning or an experienced professional working in the IT industry.

————————————–

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

** Machine Learning Training with Python: https://www.edureka.co/data-science-python-certification-course **
This “Top 10 Applications of Machine Learning” video will give you an idea of how vast the machine learning is and how commonly you are using it in your day to day life.

Check out our playlist for more videos: http://bit.ly/2taym8X

Subscribe to our channel to get video updates. Hit the subscribe button above.
#MachineLearningApplications #MachineLearningUsingPython #MachineLearningTraining

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 Machine Learning Course using Python is designed to make you grab the concepts of Machine Learning. The Machine Learning training will provide deep understanding of Machine Learning and its mechanism. As a Data Scientist, you will be learning the importance of Machine Learning and its implementation in python programming language. Furthermore, you will be taught Reinforcement Learning which in turn is an important aspect of Artificial Intelligence. You will be able to automate real life scenarios using Machine Learning Algorithms. Towards the end of the course, we will be discussing various practical use cases of Machine Learning in python programming language to enhance your learning experience.

After completing this Machine Learning Certification Training using Python, you should be able to:
Gain insight into the ‘Roles’ played by a Machine Learning Engineer
Automate data analysis using python
Describe Machine Learning
Work with real-time data
Learn tools and techniques for predictive modeling
Discuss Machine Learning algorithms and their implementation
Validate Machine Learning algorithms
Explain Time Series and it’s related concepts
Gain expertise to handle business in future, living the present

– – – – – – – – – – – – – – – – – – –

Why learn Machine Learning with Python?

Data Science is a set of techniques that enable 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.

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

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

(**Learn future technologies here- https://bit.ly/2SU2DWo **)
Join Pro-Degree nano certification programs built in collaboration with top university and industry partners along with career support.
Our Certification Programs are designed to equip the learner with in depth knowledge on the topic and they are ready to hit the ground running owing to their exposure to real world application through Live projects and mentorships.

To know more about our courses and what you will get to learn, visit our website:
*********www.verzeo.in*******

Want to learn more about the current and upcoming trends in technology? Stop by and subscribe to Verzeo and don’t forget to click the bell icon to stay updated on the latest and most diverse video content on offer.
Subscribe to our channel to get notified about the upcoming videos: http://bit.ly/2SBcDEh

——————————————————-
Follow us on:
Facebook: https://www.facebook.com/verzeo.leadanywhere/
Twitter: https://twitter.com/Verzeo1
Instagram: https://www.instagram.com/verzeo/
LinkedIn: https://www.linkedin.com/company/verzeo
——————————————————-

Moving beyond supervised deep learning

Watch Yoshua Bengio, Professor of Computer Science and Operations Research at Université de Montréal on stage at World Summit AI Americas 2019. americas.worldsummit.ai

SKCET – ATAL FDP on Artificial Intelligence, Machine Learning and Genomics – Session 10

[CHEY-CSIS Joint Conference] Geopolitical Risks and Scientific Innovation
Session 1: Artificial Intelligence and Machine Learning: Data-Driven Techniques and Software Intensive Technologies

사회자 Moderator
AHN Jung Ho (Professor, Seoul National University)

발표자 Speakers
Lindsey SHEPPARD (Fellow, CSIS)
Jason BROWN (Director of Chief of Staff, U.S. Air Force Strategic Studies Group)
KIM Yoon (Chief Technology Officer, SKT)
PARK Byung Jin (Vice President, Advanced Defense Technology Research Institute)

최종현학술원과 CSIS는 4차 산업혁명의 다양한 기술진보가 국제정치와 지정학 리스크에 미치는 영향을 조망하고자 최종현학술원-CSIS 컨퍼런스를 공동 주최했다. 이번 컨퍼런스는 과학혁신과 지정학 리스크에 대한 단편적인 분석을 뛰어넘어 인공지능, 머신러닝, 신소재, 무인체계, 사이버보안, 우주기술 분야에서의 혁신과 그것이 가져올 국제질서의 변화를 집중 분석했다.

On Jan. 30-31, 2020, the Chey Institute for Advanced Studies and CSIS co-hosted the conference titled “Geopolitical Risks and Scientific Innovation.” This conference invited renowned experts and scholars from Korea and the United States to discuss the impact of scientific innovation on geopolitical risks, especially in Northeast Asia. Issues included artificial intelligence and machine learning (AI/ML), advanced materials and their implications for supply chain, unmanned systems and robotics, cyber security and blockchain, and space technologies.

Ethics of AI Lab
Centre for Ethics, University of Toronto, March 20, 2018
http://ethics.utoronto.ca

Kathryn Hume
intergrate.ai

Subscribe to O’Reilly on YouTube: http://goo.gl/n3QSYi

Follow O’Reilly on:
Twitter: http://twitter.com/oreillymedia
Facebook: http://facebook.com/OReilly
Instagram: https://www.instagram.com/oreillymedia
LinkedIn: https://www.linkedin.com/company-beta/8459/

Download Slides: https://www.datacouncil.ai/talks/bighead-airbnbs-end-to-end-machine-learning-platform?hsLang=en

WANT TO EXPERIENCE A TALK LIKE THIS LIVE?

Barcelona: https://www.datacouncil.ai/barcelona
New York City: https://www.datacouncil.ai/new-york-city
San Francisco: https://www.datacouncil.ai/san-francisco
Singapore: https://www.datacouncil.ai/singapore

ABOUT THE TALK

Airbnb has a wide variety of ML problems ranging from models on traditional structured data to models built on unstructured data such as user reviews, messages and listing images. The ability to build, iterate on, and maintain healthy machine learning models is critical to Airbnb’s success. Many ML Platforms cover data collection, feature engineering, training, deploying, productionalization, and monitoring but few, if any, do all of the above seamlessly.

Bighead aims to tie together various open source and in-house projects to remove incidental complexity from ML workflows. Bighead is built on Python and Spark and can be used in modular pieces as each ML problem presents unique challenges. Through standardization of the path to production, training environments and the methods for collecting and transforming data on Spark, each model is reproducible and iterable.

This talk covers the architecture, the problems that each individual component and the overall system aims to solve, and a vision for the future of machine learning infrastructure. It’s widely adapted in Airbnb and we have variety of models running in production. We have seen the overall model development time go down from many months to days on Bighead. We plan to open source Bighead to allow the wider community to benefit from our work.

ABOUT THE SPEAKER

Andrew Hoh is the Product Manager for the Machine Learning Infrastructure team at Airbnb. He graduated with a BA in Computer Science from Dartmouth College. Previously, he has spent time building and growing Microsoft Azure’s distributed database, Azure Cosmos DB.

View more keynotes and sessions from AI NY 2019:
https://oreilly.com/go/ainy19

Applied Machine Learning at Facebook

Subscribe to O’Reilly on YouTube: http://goo.gl/n3QSYi

Follow O’Reilly on:
Twitter: http://twitter.com/oreillymedia
Facebook: http://facebook.com/OReilly
Instagram: https://www.instagram.com/oreillymedia
LinkedIn: https://www.linkedin.com/company-beta/8459/

Einstein offers a variety of Deep Learning APIs that allow developers of all skill levels to leverage the power of image recognition and natural language processing to build AI-enabled apps fast. With Einstein, you can iterate quickly to build the most accurate models without the complexity of management and maintenance. Join this session and learn how to use Einstein APIs to make your applications smarter with deep learning-powered image recognition and natural language processing.

We are in the middle of a major shift in computing that’s transitioning us from a mobile-first world into one that’s AI-first. AI will touch every industry and transform the products and services we use daily. Breakthroughs in machine learning have enabled dramatic improvements in the quality of Google Translate, made your photos easier to organize with Google Photos, and enabled improvements in Search, Maps, YouTube, and more. We’re also sharing the underlying technology with developers and researchers via open-source software such as TensorFlow, academic publications, and a full suite of Cloud machine learning services. Join this session to hear some of Alphabet’s top machine learning experts discuss their cutting-edge research and the opportunities they see ahead.

See all the talks from Google I/O ’17 here: https://goo.gl/D0D4VE
Watch more Android talks at I/O ’17 here: https://goo.gl/c0LWYl
Watch more Chrome talks at I/O ’17 here: https://goo.gl/Q1bFGY
Watch more Firebase talks at I/O ’17 here: https://goo.gl/pmO4Dr

Subscribe to the Google Developers channel: http://goo.gl/mQyv5L

#io17 #GoogleIO #GoogleIO2017

ML Systems Workshop @ NIPS 2017
https://nips.cc/Conferences/2017/Schedule?showEvent=8774

Contributed Talk 3: NSML: A Machine Learning Platform That Enables You to Focus on Your Models by Nako Sung. This Video is by Jung-Woo Ha.

The accelerated pace of success in machine learning applications reflects significant improvements in specialized hardware, algorithms, and access to data. Corporations now know that they need to deploy machine learning rapidly, but they are unsure about best practices. Public sentiment has shifted from skepticism to fears of runaway AI, as well as employment, privacy, and ethical issues. The future success of machine learning depends on our ability to capture competitive advantages and manage downside risks effectively.

Subscribe: http://bit.ly/1Wq6gwm

Connect with Singularity University:
Website: http://su.org
Blog: https://su.org/blog/
Hub: http://singularityhub.com
Facebook: https://www.facebook.com/singularityu
Twitter: https://twitter.com/singularityu
Linkedin: https://www.linkedin.com/company/singularity-university

About Singularity University:
Singularity University is a benefit corporation headquartered at NASA’s research campus in Silicon Valley. We provide educational programs, innovative partnerships and a startup accelerator to help individuals, businesses, institutions, investors, NGOs and governments understand cutting-edge technologies, and how to utilize these technologies to positively impact billions of people.

Singularity University
http://www.youtube.com/user/SingularityU

In this episode of Eyes on Enterprise, Stephanie Wong invites Yufueng Guo, Developer Advocate for machine learning, to talk about how enterprises can incorporate ML into their environments, build workflows, and apply them to real world scenarios. Specifically, they discuss how to frame ML as descriptive, predictive, or prescriptive problems, and when to use tooling like Tensorflow, Keras, Scikit Learn, and Pytorch.

Follow Stephanie Wong on Twitter → @swongful

Time Markers:
0:00 Intro
0:34 Trends in ML
1:32 AI vs. ML
2:57 Building an ML workflow
10:31 ML tools and developer experience
11:33 Approaching ML by problem type
13:45 Processing in the cloud vs. on-prem
17:51 Google Cloud tools
20:12 Real world use cases
21:57 Takeaways

The 7 Steps of Machine Learning → https://goo.gle/3aUPQd5
AI Platform → https://goo.gle/2UyIPb1
The fight against illegal deforestation with TensorFlow → https://goo.gle/38I0gLk
AI Experiments → https://goo.gle/3aBsY1Y

For more content like this, subscribe to the GCP Channel → https://goo.gle/34tknuO
Watch more episodes of Eyes on Enterprise → https://goo.gle/2Uipf3X

Product: Cloud Machine Learning Engine; fullname: Stephanie Wong, Yufeng Guo;

#EyesOnEnterprise

#Freelancing #FreelanceDataScience #Upwork

Want to get started with freelancing in machine learning but don’t know where to start?

In my new series I’ll break it all down for you. What platform to use, how to write your profile, how to screen clients, how to apply to jobs, and how to deliver.

Stay tuned for more episodes.

Learn how to turn deep reinforcement learning papers into code:

Deep Q Learning:
https://www.udemy.com/course/deep-q-learning-from-paper-to-code/?couponCode=DQN-NOV-2020

Actor Critic Methods:
https://www.udemy.com/course/actor-critic-methods-from-paper-to-code-with-pytorch/?couponCode=AC-NOV-2020

Reinforcement Learning Fundamentals
https://www.manning.com/livevideo/reinforcement-learning-in-motion

Come hang out on Discord here:
https://discord.gg/Zr4VCdv

Website: https://www.neuralnet.ai
Github: https://github.com/philtabor
Twitter: https://twitter.com/MLWithPhil

Using past outcomes as predictions from our pattern recognition.

Welcome to the Machine Learning for Forex and Stock analysis and algorithmic trading tutorial series. In this series, you will be taught how to apply machine learning and pattern recognition principles to the field of stocks and forex.

This is especially useful for people interested in quantitative analysis and algo or high frequency trading. Even if you are not, the series will still be of great use to anyone interested in learning about machine learning and automatic pattern recognition, through a hands-on tutorial series.

Sentdex.com
Facebook.com/sentdex
Twitter.com/sentdex

Using previous pattern outcomes to help us begin to predict future outcomes.

Welcome to the Machine Learning for Forex and Stock analysis and automated trading tutorial series. In this series, you will be taught how to apply machine learning and pattern recognition principles to the field of stocks and forex.

This is especially useful for people interested in quantitative analysis and algo or high frequency trading. Even if you are not, the series will still be of great use to anyone interested in learning about machine learning and automatic pattern recognition, through a hands-on tutorial series.

Sentdex.com
Facebook.com/sentdex
Twitter.com/sentdex

The battle for the 2020 US Presidential election has begun. The Republican nominee Donald Trump and the Democratic nominee Joe Biden are fighting for a place in the White House. In this video, we will analyze the US elections using Twitter Sentiment Analysis in Python. You will understand how to extract tweets, store it in a CSV file, examine the tweets’ polarity, and visualize the results. Finally, you will build a word cloud based on the tweets for Trump and Biden.

✅Subscribe to our Channel to learn more about the top Technologies: https://bit.ly/2VT4WtH

⏩ Check out the Machine Learning tutorial videos: https://bit.ly/3fFR4f4

#USElectionPrediction2020 #USElectionPredictionLatest #ElectionPredictionUsingMachineLearning #MachineLearningCourse #ElectionPredictionUsingDataScience #Simplilearn

About Simplilearn Machine Learning course:
A form of artificial intelligence, Machine Learning is revolutionizing the world of computing as well as all people’s digital interactions. Machine Learning powers such innovative automated technologies as recommendation engines, facial recognition, fraud protection and even self-driving cars.This Machine Learning course prepares engineers, data scientists and other professionals with knowledge and hands-on skills required for certification and job competency in Machine Learning.

What skills will you learn from this Machine Learning course?

By the end of this Machine Learning course, you will be able to:
1. Master the concepts of supervised, unsupervised and reinforcement learning concepts and modeling.
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.
5. Be able to model a wide variety of robust Machine Learning algorithms including deep learning, clustering, and recommendation systems

👉Learn more at: https://bit.ly/3fouyY0

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

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

🔥NIT Warangal Post Graduate Program in AI & Machine Learning with Edureka: https://www.edureka.co/nitw-ai-ml-pgp
This Edureka “Stock Prediction using Machine Learning” takes you through the basic process of predicting the trends of stock prices using machine learning architecture of LSTM while also making use of prominent Python Libraries such as Tensorflow, Keras, etc. Topics covered in the tutorial are as follow:
01:30 Introduction to Stock Prediction
03:00 LSTM Architecture
05:35 Stock Prediction Model
26:35 Conclusion

🔸Dataset & code: https://bit.ly/2x6BPe0

🔹Check out our machine learning Playlist: https://bit.ly/3byztDp
🔹And our Blog series: https://bit.ly/34YXH7n
————————————————————
🔴To subscribe to our channel and hit the bell icon to never miss an update from us in the future: https://goo.gl/6ohpTV

Twitter: https://twitter.com/edurekain
LinkedIn: https://www.linkedin.com/company/edureka
Instagram: https://www.instagram.com/edureka_learning/
Facebook: https://www.facebook.com/edurekaIN/
SlideShare: https://www.slideshare.net/EdurekaIN
Castbox: https://castbox.fm/networks/505?country=in
Meetup: https://www.meetup.com/edureka

#edureka #machinelearningEdureka #StockPredictionUsingMachineLearning #machinelearningalgorithms #pythonMachineLearning #machineLearningTraining
———————————————-
Why Machine Learning & AI?

Because of the increasing need for intelligent and accurate decision making, there is an exponential growth in the adoption of AI and ML technologies. Hence these are poised to remain the most important technologies in the years to come.
———————————————–
PG Program in Machine Learning & AI

1. Ranked 4th among NITs by NIRF
2. Ranked among Top 50 Institutes in India
3. Designated as Institute of National Importance
———————————————–
Program Features

1. Mentorship from NITW faculty
2. Placement Assistance
3. Alumni Status
4. Industry Networking
———————————————–
Industry Projects

1. Building a Conversational ChatBot
2. Predictive Model for Auto Insurance
3. E-commerce Website – Sales Prediction
———————————————–
Mentors & Instructors

Dr. RBV Subramaanyam
Professor NITW

Dr. DVLN Somayajulu
Professor NITW

Dr. P. Radha Krishna
Professor NITW

Dr. V. Ravindranath
Professor JNTU Kakinada
——————————————–
Is this program for me?

If you’re passionate about AI & ML and want to pursue a career in this field, this program is for you. Whether you’re a fresher or a professional, this program is designed to equip you with the skills you need to rise to the top in a career in AI & ML.

Is there any eligibility criteria for this program?

A potential candidate must have one of the following prerequisites: Degrees like BCA, MCA, and B.Tech or Programming experience Should have studied PCM in 10+2

Will I get any certificate at the end of the course?

Yes, you will receive a Post-Graduate industry-recognized certificate from E & ICT Academy, NIT Warangal upon successful completion of the course.
——————————————–
For more information, Please write back to us at sales@edureka.in or call us at IND: +91-9606058418 / US: 18338555775 (toll-free).

A rundown, based on my book AI in Practice, on the best examples of how trailblazing companies are using AI in practice.

If you would like more information on this topic, please feel free to visit my website and sign up for content updates! I write articles every week on various different topics such as Big Data, Artificial Intelligence & Machine Learning.

Visit the Artificial Intelligence & Machine Learning topic page here: https://bernardmarr.com/default.asp?contentID=1314

Thanks for watching!

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

Large scale machine learning is playing an increasingly important role in improving the quality and monetization of Internet properties. A small number of techniques, such as regression, have proven to be widely applicable across Internet properties and applications. Sibyl is a research project that implements these primitives at scale and is widely used within Google. In this talk I will outline Sibyl and the requirements that it places on Google’s computing infrastructure.

Tushar Chandra is a Principal Engineer at Google Research and a co-lead for the Sibyl project. He received his Ph.D. in Computer Science from Cornell University in 1993, worked at IBM Research thereafter until he joined Google in 2004. He has worked on a number of distributed systems projects: Reliable Scalable Cluster Technology, Gryphon, and Oceano at IBM and Bigtable and a Paxos-based platform for fault-tolerance at Google. He was a joint winner of the 2010 Edsger W. Dijkstra Prize in Distributed Computing.

Introduced by Georgia Tech professor and DSN 2014 General Chair, Dr. Doug Blough, this keynote was presented at the IEEE DSN (Dependable Systems and Networks) conference at the Georgia Tech Hotel & Conference Center in Atlanta, GA on Wednesday, June 25th 2014.

See: http://2014.dsn.org/keynote.shtml

(Recorded and edited by: Conner Reinhardt)

This post originally appeared on SIG’s SIGnals blog.

What is machine learning and why is it being talked about now more than ever? We asked these questions and more to our intelligent systems expert, Jeff Erhardt.

LEARN MORE ABOUT GE DIGITAL:
https://www.ge.com/digital

SUBSCRIBE TO THE GE DIGITAL CHANNEL:
https://www.youtube.com/c/GEDigital?sub_confirmation=1

CONNECT WITH GE DIGITAL ONLINE:

Visit GE Digital’s Website: https://www.ge.com/digital/
Follow GE Digital on Twitter: https://twitter.com/GE_Digital
Find GE Digital on LinkedIn: https://www.linkedin.com/company/2681277

How can we use machine learning and predictive analytics in the classroom?

Simon Harper from Killara High School, NSW shares the journey his school has undertaken in AI to set students up for success in the future.

DARPA SUPERHIT 2021 Play Now!Close

DARPA SUPERHIT 2021

(StoneBridge Mix)

Play Now!

×