GitHub - dive-into-machine-learning/dive-into-machine-learning: Free ways to dive into machine learning with Python and Jupyter Notebook. Notebooks, courses, and other links. (First posted in 2016.)You signed in with another tab or window. Reload to refresh your session. You signed out in another tab or window. Reload to refresh your session. You switched accounts on another tab or window. Reload to refresh your session. Dismiss alert
Good Freely Available Textbooks on Machine Learning - MetaOptimize Q+A
I'm starting this question to collect a list of good freely available textbooks that concentrate on some aspect of machine learning (rather than applications of ML -- these can go in separate questions). Good tutorials could be included as well, but I'd rather not have, say, slides that are a bit cryptic on their own. The Elements of Statistical Machine Learning is a great text covering most core
Patterns for Research in Machine Learning | Ali Eslami
18 Jul 2012 Here I list a handful of code patterns that I wish I was more aware of when I started my PhD. Each on its own may seem pointless, but collectively they go a long way towards making the typical research workflow more efficient. And an efficient workflow makes it just that little bit easier to ask the research questions that matter. My guess is that these patterns will not only be useful
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CS 194-10, Fall 2011
Amazon.co.jp: Machine Learning: An Algorithmic Perspective (Chapman & Hall/CRC Machine Learning & Pattern Recognition): Marsland, Stephen: 本
