Difference between revisions of "Courses & Certifications"
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==== Coursera ===== | ==== Coursera ===== | ||
* [http://www.coursera.org/specializations/deep-learning Deep Learning Specialization | Andrew Ng - Coursera] | * [http://www.coursera.org/specializations/deep-learning Deep Learning Specialization | Andrew Ng - Coursera] | ||
| + | * [http://web.stanford.edu/class/cs224n/ Natural Language Processing with Deep Learning | Stanford - Coursera] | ||
| + | * [http://cs231n.stanford.edu/ Convolutional Neural Networks for Visual Recognition | Stanford - Coursera] | ||
| + | * [http://www.coursera.org/learn/machine-learning Machine Learning | Stanford- Coursera] | ||
| + | * [http://www.coursera.org/specializations/machine-learning Machine Learning Specialization | University of Washington - Coursera] | ||
* [http://www.class-central.com/course/coursera-improving-deep-neural-networks-hyperparameter-tuning-regularization-and-optimization-9054 Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization | Stanford - Coursera] | * [http://www.class-central.com/course/coursera-improving-deep-neural-networks-hyperparameter-tuning-regularization-and-optimization-9054 Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization | Stanford - Coursera] | ||
* [http://www.class-central.com/course/coursera-structuring-machine-learning-projects-9056 Structuring Machine Learning Projects | Stanford - Coursera] | * [http://www.class-central.com/course/coursera-structuring-machine-learning-projects-9056 Structuring Machine Learning Projects | Stanford - Coursera] | ||
* [http://www.class-central.com/course/coursera-sequence-models-9055 Sequence Models | Stanford - Coursera] | * [http://www.class-central.com/course/coursera-sequence-models-9055 Sequence Models | Stanford - Coursera] | ||
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* [http://www.class-central.com/course/coursera-convolutional-neural-networks-9057 Convolutional Neural Networks | Stanford - Coursera] | * [http://www.class-central.com/course/coursera-convolutional-neural-networks-9057 Convolutional Neural Networks | Stanford - Coursera] | ||
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==== Udemy ==== | ==== Udemy ==== | ||
Revision as of 04:47, 26 August 2018
Contents
YouTube Courses
- Application of Deep Neural Networks | Washington University in St. Louis
- Introduction to AI | Well Academy
- Introduction to Artificial Intelligence | Edureka
Pluralsight
Coursera =
- Deep Learning Specialization | Andrew Ng - Coursera
- Natural Language Processing with Deep Learning | Stanford - Coursera
- Convolutional Neural Networks for Visual Recognition | Stanford - Coursera
- Machine Learning | Stanford- Coursera
- Machine Learning Specialization | University of Washington - Coursera
- Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization | Stanford - Coursera
- Structuring Machine Learning Projects | Stanford - Coursera
- Sequence Models | Stanford - Coursera
- Convolutional Neural Networks | Stanford - Coursera
Udemy
- Complete Guide to TensorFlow for Deep Learning with Python | Jose Portilla - Udemy
- Data Science and Machine Learning Bootcamp with R | Jose Portilla - Udemy
- Scala and Spark for Big Data and Machine Learning | Jose Portilla - Udemy
- Python for Data Science and Machine Learning Bootcamp | Jose Portilla - Udemy
- Deep Learning A-Z™: Hands-On Artificial Neural Networks | Kirill Eremenko, Hadelin de Ponteves - Udemy
- Machine Learning A-Z™: Hands-On Python & R In Data Science | Kirill Eremenko, Hadelin de Ponteves - Udemy
- Data Science, Deep Learning, & Machine Learning with Python | Frank Kane - Udemy
MIT =
- Introduction to Deep Learning | MIT
- Artificial Intelligence | MIT
- Deep Learning for Self-Driving Cars | MIT
- Learn with Google AI
- Machine Learning Crash Course with TensorFlow APIs | Google
- Learn TensorFlow and deep learning, without a Ph.D. | Google
- Deep Learning | Google
Microsoft
Amazon
IBM
Other Courses
- NVIDIA Deep Learning Institute (DLI)
- Intel AI Academy
- Kaggle Hands-On Data Science Education
- Creative Applications of Deep Learning with TensorFlow | Kadenze
- Artificial Intelligence (AI) | Columbia University
- 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
- 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
