Machine Learning

Author

Mattia Curri

Machine Learning

Anno di stesura: 2024-2025

Prof.: Claudia d’Amato / Nicola di Mauro

Textbooks

[MLPP] Murphy, Machine Learning: a Probabilistic Perspective, 2012

[PRML] Bishop, Pattern Recognition And Machine Learning (2018, 1st ed. 2006)

[LRL] L. De Raedt, Logical and Relational Learning: From ILP to MRDM. (2008)

[DM] Witten & Frank, Data Mining: Practical Machine Learning Tool and Techiques. (4th ed. 2017)

[DL] Goodfellow, Bengio and Courville, Deep Learning. (2017, 1st ed. 2016)

[GDL] Trask, Grokking Deep Learning. (2019)

[DLP] Chollet, Deep Learning with Python. (2018, 1st ed. 2017)