wildtreetech / advanced-comp-2017

💻 Material for a course on applied machine-learning for scientists. Taught at EPFL in spring 2017
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Books and reading #11

Open betatim opened 7 years ago

betatim commented 7 years ago

https://github.com/ageron/handson-ml is the GitHub repository for Hands-on Machine Learning with Scikit-Learn and TensorFlow

https://github.com/amueller/introduction_to_ml_with_python GitHub repository for Introduction to Machine Learning with Python

Elements of statistical learning

Introduction to statistical learning

If you find a book you like, lecture notes or other reading material feel free to post it here.

betatim commented 7 years ago

http://distill.pub/ - a very modern and focussed on explaining ideas journal for machine-learning

pwaller commented 7 years ago

At risk of creating a black hole of distraction... :black_circle: :pick:

https://github.com/terryum/awesome-deep-learning-papers https://github.com/josephmisiti/awesome-machine-learning https://github.com/owainlewis/awesome-artificial-intelligence https://github.com/bulutyazilim/awesome-datascience https://github.com/ujjwalkarn/Machine-Learning-Tutorials

... and many more of these if you use github search judiciously.