ANALYSIS AND MACHINE LEARNING TECHNIQUES WITH BASICS OF COMPUTER SCIENCE AND STATISTICAL LEARNING - (CTF) Loriano Storchi)
Note the course is lectured in Italian.
These notes have no claim of completeness, but represent only a reference, I hope a useful one, for all those who have followed
the course. (Some unavoidable inaccuracies will be corrected as soon as possible)
Slides:
Warnings, slides may undergo changes during the course
Bibliography:
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"Computer organization and design : the hardware/software interface",
Book by David A Patterson, John L. Hennessy
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"TCP/IP Illustrated: Volume 1: The Protocols",
Book by W. Richard Stevens, Kevin R. Falls, Gary R. Wrigh
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"Introduction to Statistics:,
Book by David M. Lane1, David Scott, Mikki Hebl, Rudy Guerra, Dan Osherson, Heidi Zimmer
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"Introduction to Computer Programming with Python",
Book by Harris Wang
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"An Introduction to Statistical Learning: With Applications in Python",
Book by Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani, Jonathan Taylor
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"The Hundred-Page Machine Learning",
Book by Andriy Burkov
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"nterpretable Machine Learning: A Guide for Making Black Box Models Explainable",
Book by Christoph Molnar
