Difference between revisions of "Courses & Certifications"
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* [http://www.deeplearning.ai/ai-for-everyone/ AI For Everyone | deeplearning.ai] | * [http://www.deeplearning.ai/ai-for-everyone/ AI For Everyone | deeplearning.ai] | ||
| − | ==== Kaggle ==== | + | ==== [https://www.kaggle.com/learn/overview Kaggle] ==== |
* [http://www.kaggle.com/learn/overview Kaggle Hands-On Data Science Education] | * [http://www.kaggle.com/learn/overview Kaggle Hands-On Data Science Education] | ||
| + | * [http://www.kaggle.com/learn/intro-to-machine-learning Intro to Machine Learning] | ||
| + | * [http://www.kaggle.com/learn/intermediate-machine-learning Intermediate Machine Learning] | ||
| + | * [http://www.kaggle.com/learn/feature-engineering Feature Engineering] | ||
| + | * [http://www.kaggle.com/learn/deep-learning Deep Learning] TensorFlow | ||
| + | * [http://www.kaggle.com/learn/machine-learning-explainability Machine Learning Explainability] | ||
| + | * [http://www.kaggle.com/learn/natural-language-processing Natural Language Processing] | ||
| + | * [http://www.kaggle.com/learn/intro-to-game-ai-and-reinforcement-learning Intro to Game AI and Reinforcement Learning] | ||
==== [http://www.futurelearn.com/ Future Learn] ==== | ==== [http://www.futurelearn.com/ Future Learn] ==== | ||
Revision as of 08:14, 7 July 2020
...Google search ...Google search
- Reading Material & Glossary
- Math for Intelligence
- The Best Data Science Curriculum — Class Central Career Guides | David Venturi - Class Central
Natural Language Processing (NLP)
- Natural Language Processing | Coursera
- 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)
Other Machine Learning
- 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
- Natural Language Processing in TensorFlow | deeplearning.ai
- TensorFlow in Practice Specialization | deeplearning.ai
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
- Tensorflow 2.0: Deep Learning and Artificial Intelligence | Lazy Programmer Team
- Artificial Intelligence: Reinforcement Learning in Python | Lazy Programmer Team
- Artificial Intelligence for Simple Games | Jan Warchocki
Udacity
- Intro to TensorFlow for Deep Learning byTensorFlow | Udacity
- Intro to Artificial Intelligence | Udacity
- Become a Machine Learning Engineer | Udacity
- Advancing Data & Analytics Potential Together: Adapt | Alteryx new graduates and unemployed data workers are granted access
deeplearning.ai
- TensorFlow: From Basics to Mastery | deeplearning.ai
- Deep Learning | deeplearning.ai
- AI For Everyone | deeplearning.ai
Kaggle
- Kaggle Hands-On Data Science Education
- Intro to Machine Learning
- Intermediate Machine Learning
- Feature Engineering
- Deep Learning TensorFlow
- Machine Learning Explainability
- Natural Language Processing
- Intro to Game AI and Reinforcement Learning
Future Learn
- Data Science in the Games Industry | University of Dundee
- Digital Skills: Artificial Intelligence | Accenture
- Applications of AI Technology | Taipei Medical University
Other Courses
- fast.ai
- Neural networks in JavaScript - Brain.js | Robert Plummer
- 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
