Difference between revisions of "Courses & Certifications"
| Line 52: | Line 52: | ||
* [http://sites.google.com/site/deeplearningsummerschool/home Deep Learning Summer School 2015 | Yoshua Bengio, Roland Memisevic, Yann LeCun] | * [http://sites.google.com/site/deeplearningsummerschool/home Deep Learning Summer School 2015 | Yoshua Bengio, Roland Memisevic, Yann LeCun] | ||
* [http://www.class-central.com/course/coursera-neural-networks-for-machine-learning-398 Neural Networks for Machine Learning 2013 | University of Toronto - Geoffrey Hinton the godfather of deep learning] | * [http://www.class-central.com/course/coursera-neural-networks-for-machine-learning-398 Neural Networks for Machine Learning 2013 | University of Toronto - Geoffrey Hinton the godfather of deep learning] | ||
| − | * [http://www.udemy.com/machinelearning/ | + | == Udemy == |
| − | * [http://www.udemy.com/python-for-data-science-and-machine-learning-bootcamp | + | * [http://www.udemy.com/complete-guide-to-tensorflow-for-deep-learning-with-python/ Complete Guide to TensorFlow for Deep Learning with Python | Udemy] |
| + | * [http://www.udemy.com/deeplearning/ Deep Learning A-Z™: Hands-On Artificial Neural Networks | Udemy] | ||
| + | * [http://www.udemy.com/machinelearning/ Machine Learning A-Z™: Hands-On Python & R In Data Science | Udemy] | ||
| + | * [http://www.udemy.com/python-for-data-science-and-machine-learning-bootcamp Python for Data Science and Machine Learning Bootcamp | Udemy] | ||
Revision as of 17:17, 25 August 2018
YouTube Courses
- Application of Deep Neural Networks | Washington University in St. Louis
- Introduction to AI | Well Academy
- Introduction to Artificial Intelligence | Edureka
Other Courses
- Deep Learning Specialization | Andrew Ng - Coursera
- NVIDIA Deep Learning Institute (DLI)
- Learn with Google AI
- Machine Learning Crash Course with TensorFlow APIs | Google
- Intel AI Academy
- IBM Cognitive Classes - use Watson services to make a chatbot
- Microsoft AI School
- Kaggle Hands-On Data Science Education
- Amazon Training
- Deep Learning: The Big Picture | Matthew Renze
- Creative Applications of Deep Learning with TensorFlow | Kadenze
- Machine Learning | Stanford
- Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization | Stanford
- Structuring Machine Learning Projects | Stanford
- Sequence Models | Stanford
- Natural Language Processing with Deep Learning | Stanford
- Convolutional Neural Networks | Stanford
- Convolutional Neural Networks for Visual Recognition | Stanford
- Play Video: Introduction to Artificial Intelligence (AI) | Microsoft
- Artificial Intelligence (AI) | Columbia University
- Introduction to Deep Learning | MIT
- Artificial Intelligence | MIT
- Deep Learning for Self-Driving Cars | MIT
- CS188 Intro to AI | UC Berkeley
- Deep Learning for Natural Language Processing | Oxford - Phil Blunsom
- Intro to Artificial Intelligence | Udacity
- MOOC Training Course | PM.org
- Machine Learning | Georgia Institute of Technology
- Introduction to Deep Learning | Higher School of Economics
- Introduction to Reinforcement Learning | Higher School of Economics
- Natural Language Processing | Higher School of Economics
- 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
- Learn TensorFlow and deep learning, without a Ph.D. | Google
- Deep Learning | Google
- Deep Learning Fundamentals | Cognitive Class
- Deep Learning with TensorFlow | Cognitive Class
- Online Course on Neural Networks | Université de Sherbrooke - Hugo Larochelle
- Machine Learning: 2014-2015 | Oxford - Nando de Freitas
- 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
