Testi introduttivi liberi

Introduzioni a Python e ai temi del ML liberamente disponibili su Internet

• A.B.Downey. Think Bayes
• A.B.Downey. Think Python
• A.B.Downey. Think Stats

Testi di Machine Learning liberi

Testi di Machine Learning liberamente disponibili su Internet

• D. Barber. Bayesian Reasoning and Machine Learning

• D. MacKay. Information Theory, Inference, and Learning Algorithms

• T. Hastie, R. Tibshirani, J. Friedman. The Elements of Statistical Learning

• I. Goodfellow, Y. Bengio, A. Courville. Deep Learning

• K.P. Murphy. Machine Learning: a Probabilistic Perspective

• K.P. Murphy. Probabilistic Machine Learning: an Introduction

• AA.VV. Dive into Deep Learning

• H. Daumé III. A Course on Machine Learning

• A. Jung. Machine Learning: The Basics

Articoli e report di interesse

• S. Ruder. An overview of gradient descent optimization algorithms

• P. Cunningham, B. Kathirgamanathan, S.J. Delany. Feature Selection Tutorial with Python Examples

• J. Li, K. Cheng, S. Wang, F. Morstatter, R.P. Trevino, J. Tang, H. Liu. Feature Selection: A Data Perspective