Over the past few weeks, I have been preparing for my first machine learning project.
As part of this preparation, I compiled a list of introductory machine learning resources.
This list includes material that I think is both intuitive and concisely explained.
Essential Math for AI
This free course has short videos that review the basics of Calculus, Linear Algebra, Probability, and Statistics. It also includes labs which are downloadable as Jupyter notebooks.
Essence of Linear Algebra and Neural Networks
In these video series, Grant Sanderson uses his 3D animation library, Manim, to create beautiful visual explanations of fundamental areas of these topics.
Neural Networks and Deep Learning by Michael Nielsen
This online book provides a practical approach to understanding neural networks and deep learning techniques.
