(04/02/2026) - Mestrado: Machine Learning - Paulo Orenstein - Aula 13
Summer School 2026 Professor: Paulo Orenstein Video Playlist: • Programa de Mestrado: Machine Learning (2026) Organizationally, the course will follow the Python version of the book *An Introduction to Statistical Learning*, by Gareth James, Daniela Witten, Trevor Hastie, and Robert Tibshirani. The book is available for free. The main differences between the course and the book are (i) a more mathematical treatment of the topics covered; and (ii) a greater depth in the area of deep learning. Two other important references for the course are *Elements of Statistical Learning*, by Trevor Hastie, Robert Tibshirani, and Jerry Friedman, and *Probabilistic Machine Learning*, by Kevin Murphy. Both are also available for free. IMPA Social Media: https://linktr.ee/impabr IMPA - Institute of Pure and Applied Mathematics © https://www.impa.br | https://impa.br/videos The rights to all material on this channel belong to the Institute of Pure and Applied Mathematics. Total or partial use of the content is prohibited without prior written authorization from the aforementioned owner, except in cases provided for by current legislation.

(05/02/2026) - Mestrado: Machine Learning - Paulo Orenstein - Aula 14

(05/01/2026) - Mestrado: Machine Learning - Paulo Orenstein - Aula 01

(20/02/2026) - Master's Degree: Machine Learning - Paulo Orenstein - Class 21

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