Notes on the Deep Learning book from Ian Goodfellow, Yoshua Bengio and Aaron Courville (2016)
MIT License
Companion webpage to the book "Mathematics For Machine Learning"
18.06 course at MIT
Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science
M. Beyeler (2017). Machine Learning for OpenCV: Intelligent image processing with Python. Packt P...
General Assembly's Data Science course in Washington, DC
this repository accompanies the book "Grokking Deep Learning"
Series of notebooks accompanying the book "Practical Deep Learning for Computer Vision with Pytho...
An interactive book on deep learning. Much easy, so MXNet. Wow. [Straight Dope is growing up] ---...
Course notes and notebooks to teach the fundamentals of how deep learning works; uses PyTorch.
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
Practical machine learning for physicists
Momentum AI course in machine learning
Master the essential skills needed to recognize and solve complex real-world problems with Machin...