understanding-machine-learning-theory-algorithms.pdf
cs.huji.ac.il · 6,381 words · saved by 1 readers
N/A
Understanding Machine Learning: From Theory to Algorithms c 2014 by Shai Shalev-Shwartz and Shai Ben-David Published 2014 by Cambridge University Press. This copy is for personal use only. Not for distribution. Do not post. Please link to: http://www.cs.huji.ac.il/~shais/UnderstandingMachineLearning Please note: This copy is almost, but not entirely, identical to the printed version of the book. In particular, page numbers are not identical (but section numbers are the same). Understanding…
saved by
related reading
- deeplearningbook.org/contents/ml.htmldeeplearningbook.org
- Deep Learningdeeplearningbook.org
- Machine learning - Wikipediaen.wikipedia.org
- A Course in Machine Learningciml.info
- Kearns-Vairani-1994-Introduction-to-Computational-Learning-Thoery-Ch01.pdfjeffreyheinz.net
- The Little Book of Deep Learningfleuret.org
- Understanding Deep Learningudlbook.github.io
- Online Learning: A Comprehensive Surveyarxiv.org
- Statistical learning theory - Wikipediaen.wikipedia.org
- catoni_draft2.pdfocatoni.perso.math.cnrs.fr
- arxiv.org/pdf/1805.08522arxiv.org
- 6.036_notes.pdfphillipi.github.io