Difference between revisions of "Courses & Certifications"
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* [[Math for Intelligence]] | * [[Math for Intelligence]] | ||
** [[Statistics for Intelligence]] | ** [[Statistics for Intelligence]] | ||
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| − | + | === <span id="Natural Language Processing (NLP)"></span>[[Natural Language Processing (NLP)]] === | |
* [http://web.stanford.edu/class/cs224n/ Natural Language Processing with Deep Learning | Stanford] | * [http://web.stanford.edu/class/cs224n/ Natural Language Processing with Deep Learning | Stanford] | ||
* [http://web.stanford.edu/class/cs124/ CS 124: From Languages to Information | Dan Jurafsky - Stanford] | * [http://web.stanford.edu/class/cs124/ CS 124: From Languages to Information | Dan Jurafsky - Stanford] | ||
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* [http://www.cs.tau.ac.il/~joberant/teaching/nlp_spring_2019/index.html Advanced Methods in Natural Language Processing | Tel Aviv University] | * [http://www.cs.tau.ac.il/~joberant/teaching/nlp_spring_2019/index.html Advanced Methods in Natural Language Processing | Tel Aviv University] | ||
* [http://course.spacy.io/ Advanced NLP with spaCy | Ines Montani (of Explosion AI)] | * [http://course.spacy.io/ Advanced NLP with spaCy | Ines Montani (of Explosion AI)] | ||
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| + | === Machine Learning (Other than NLP) === | ||
| + | * [http://digitaldefynd.com/7-best-machine-learning-training-certifications/ 9 Best Machine Learning Certification & Training | Team Digital Defynd] | ||
==== Google ==== | ==== Google ==== | ||
Revision as of 11:49, 19 October 2019
...Google search ...Google search
Contents
Natural Language Processing (NLP)
- Natural Language Processing with Deep Learning | Stanford
- CS 124: From Languages to Information | Dan Jurafsky - Stanford
- Natural Language Processing | Higher School of Economics
- Deep Learning for Natural Language Processing | Oxford - Phil Blunsom
- Getting Started with Natural Language Processing with Python | Swetha Kolalapudi
- Natural Language Processing (NLP) Microsoft | Lei Ma, Roland Fernandez, Xiaodong He
- NVIDIA Deep Learning Institute
- A Code-First Intro to Natural Language Processing | fast,ai
- Natural Language Processing | Yejin Choi - University of Washington
- YSDA Natural Language Processing | Yandex Data School
- Natural Language Processing | National Research University Higher School of Economics
- Applied Natural Language Processing | David Bamman - UC Berkeley
- Advanced Methods in Natural Language Processing | Tel Aviv University
- Advanced NLP with spaCy | Ines Montani (of Explosion AI)
Machine Learning (Other than NLP)
- Learn with Google AI
- Learn TensorFlow and Deep Learning, without a Ph.D. | Google
- Deep Learning | Google
- Machine Learning Crash Course with TensorFlow APIs | Google
Microsoft
- Microsoft AI School
- Microsoft Professional Program for Artificial Intelligence
- Play Video: Introduction to Artificial Intelligence (AI) | Microsoft
Amazon
NVIDIA
Intel
IBM
MIT
- Intro to TensorFlow | MIT
- Recommendation Systems with TensorFlow on GCP | MIT
- End-to-End Machine Learning with TensorFlow on GCP | MIT
- Introduction to Deep Learning | MIT
- Artificial Intelligence | MIT
- Deep Learning for Self-Driving Cars | MIT
Stanford
- Convolutional Neural Networks for Visual Recognition | Stanford
- Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization | Stanford
- Sequence Models | Stanford
- Convolutional Neural Networks | Stanford
- Structuring Machine Learning Projects | Stanford
Coursera
- Deep Learning Specialization | Andrew Ng
- Machine Learning | Stanford
- Machine Learning Specialization | University of Washington
Class-Central
- Tensorflow courses
- Introduction to Deep Learning | Higher School of Economics
- Introduction to Reinforcement Learning | Higher School of Economics
- Machine Learning | Georgia Institute of Technology
- Deep Learning in Computer Vision | Higher School of Economics
- Deep Learning for Business | Yonsei University
- Cutting Edge Deep Learning For Coders | fast.ai and University of San Francisco
Pluralsight
- Deep Learning: The Big Picture | Matthew Renze
- Getting Started with Natural Language Processing with Python | Swetha Kolalapudi
- Deep Learning with Keras | Jerry Kkurata
- Building Classification Models with TensorFlow | Janani Ravi
- Play by Play: Machine Learning Exposed | Katharine Beaumont and James Weaver
- Building Regression Models Using TensorFlow | Vitthal Srinivasan
- Sentiment Analysis with Recurrent Neural Networks in TensorFlow | Janani Ravi
- Getting Started with Azure Machine Learning | Jerry Kurata
- Understanding Machine Learning | David Chappell
- Machine Learning and Microsoft Cognitive Services | Janani Ravi
- Understanding the Foundations of TensorFlow - Introducing TensorFlow : Traditional ML Algorithms | Janani Ravi
Udemy
- Deep Learning A-Z™: Hands-On Artificial Neural Networks | Kirill Eremenko, Hadelin de Ponteves
- Machine Learning A-Z™: Hands-On Python & R In Data Science | Kirill Eremenko, Hadelin de Ponteves
- Data Science, Deep Learning, & Machine Learning with Python | Frank Kane
- Complete Guide to TensorFlow for Deep Learning with Python | Jose Portilla
- Data Science and Machine Learning Bootcamp with R | Jose Portilla
- Scala and Spark for Big Data and Machine Learning | Jose Portilla
- Python for Data Science and Machine Learning Bootcamp | Jose Portilla
Udacity
- Intro to TensorFlow for Deep Learning byTensorFlow | Udacity
- Intro to Artificial Intelligence | Udacity
- Become a Machine Learning Engineer | Udacity
deeplearning.ai
- TensorFlow: From Basics to Mastery | deeplearning.ai
- Deep Learning | deeplearning.ai
- AI For Everyone | deeplearning.ai
Other Courses
- fast.ai
- Neural networks in JavaScript - Brain.js | Robert Plummer
- Deep Learning for Natural Language Processing | Oxford - Phil Blunsom
- Kaggle Hands-On Data Science Education
- Creative Applications of Deep Learning with TensorFlow | Kadenze
- Deep Learning with TensorFlow | Cognitive Class
- Deep Learning Fundamentals | Cognitive Class
- Artificial Intelligence (AI) | Columbia University
- CS188 Intro to AI | UC Berkeley
- MOOC Training Course | PM.org
- Online Course on Neural Networks | Université de Sherbrooke - Hugo Larochelle
- Deep Learning Summer School 2015 | Yoshua Bengio, Roland Memisevic, Yann LeCun
- Neural Networks for Machine Learning 2013 | University of Toronto - Geoffrey Hinton the godfather of deep learning
- Machine Learning: 2014-2015 | Oxford - Nando de Freitas
- 640+ Free Online Programming & Computer Science Courses | freeCodeCamp
YouTube
