Difference between revisions of "Courses & Certifications"
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* [http://medium.freecodecamp.org/640-free-online-programming-computer-science-courses-you-can-start-in-september-f0bd3a184625 640+ Free Online Programming & Computer Science Courses | freeCodeCamp] | * [http://medium.freecodecamp.org/640-free-online-programming-computer-science-courses-you-can-start-in-september-f0bd3a184625 640+ Free Online Programming & Computer Science Courses | freeCodeCamp] | ||
Revision as of 00:11, 10 December 2018
Contents
YouTube Courses
- Application of Deep Neural Networks | Washington University in St. Louis
- Introduction to AI | Well Academy
- Introduction to Artificial Intelligence | Edureka
- 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
- Introduction to Deep Learning | MIT
- Artificial Intelligence | MIT
- Deep Learning for Self-Driving Cars | MIT
Stanford
- Natural Language Processing with Deep Learning | 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
- Natural Language Processing | Higher School of Economics
- 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
Other Courses
- School of AI | Siraj Raval
- 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
- Intro to Artificial Intelligence | Udacity
- 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
