100 Days of ML Coding
- machine-learning
- machine-learning-algorithms
- infographics
- tutorial
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100 Days of ML Coding
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
Graphic notes on Gilbert Strang's "Linear Algebra for Everyone"
A collection of algorithms and data structures
MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville
Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.
library for nonlinear optimization, wrapping many algorithms for global and local, constrained or unconstrained, optimization