Related Books
Language: en
Pages: 851
Pages: 851
Type: BOOK - Published: 2019-09-05 - Publisher: "O'Reilly Media, Inc."
Through a series of recent breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about
Language: en
Pages: 851
Pages: 851
Type: BOOK - Published: 2019-09-05 - Publisher: O'Reilly Media
Through a series of recent breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about
Language: en
Pages: 368
Pages: 368
Type: BOOK - Published: 2020-07-24 - Publisher: Packt Publishing Ltd
Integrate scikit-learn with various tools such as NumPy, pandas, imbalanced-learn, and scikit-surprise and use it to solve real-world machine learning problems
Language: en
Pages: 392
Pages: 392
Type: BOOK - Published: 2020-04-23 - Publisher: Cambridge University Press
The fundamental mathematical tools needed to understand machine learning include linear algebra, analytic geometry, matrix decompositions, vector calculus, opti
Language: en
Pages: 879
Pages: 879
Type: BOOK - Published: 2022-10-04 - Publisher: "O'Reilly Media, Inc."
Through a recent series of breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about