Machine Learning - Just-do-it (hands on) Basics
2017-03-13.
Category & Tags:
Machine Learning
See also: ML books.
This blog collects some useful materials for non-theory learners like engineers.
Book: python-machine-learning-book
code on github
ML from scratch (py)
Erik Linder-Norén, Stockholm
Machine learning, in numpy (so, also scratch, but a lot Neural Nets & RL)
David Bourgin, CA
7 Types of Regression Techniques you should know (modern regressions)
analyticsvidhya
evernote backup
GitHub标星1.3k！一款功能强大的特征选择工具 2019.11
Causality analysis: MS dowhy, Causalinference in py (inactive), CausalInference in Julia, IBM causallib etc.
Machine Learning Logistics, by Ted Dunning, Ellen Friedman @O’Reilly full text. Keywords: Rendezvous Architecture; Data Science in Production; Model Management from the Front Lines.
