MachineLearning书籍推荐

Python Machine Learning

Sebastian Raschka

8.40

联邦学习

杨强

6.40

Python Machine Learning

Sebastian Raschka

联邦学习

杨强

概率图模型：原理与技术

[美]Daphne Koller, [以色列]Nir Friedman

7.6

Deep Learning with Keras

Antonio Gulli, Sujit Pal

7.8

Grokking Machine Learning

Luis G. Serrano

Gaussian Processes for Machine Learning (Adaptive Computation and Machine Learning)

Carl Edward Rasmussen, Christopher K. I. Williams

9

Scaling up Machine Learning

Bekkerman, Ron; Bilenko, Mikhail; Langford, John

9.4

Reinforcement Learning (2/e)

Richard S. Sutton, Andrew G. Barto

9.6

Machine Learning Design Patterns

Valliappa Lakshmanan, Sara Robinson, Michael Munn

7.7

Fundamentals of Machine Learning for Predictive Data Analytics

John D. Kelleher, Brian Mac Namee, Aoife D'Arcy

7.3

Hands-on Machine Learning with Scikit-Learn, Keras, and TensorFlow, 2nd Edition

Aurelien Geron

9.7

Python Machine Learning

Sebastian Raschka

8.4

Neural Network Design

Martin T Hagan, Howard B Demuth, Mark H Beale, Orlando De Jesús

8.8

深度卷积网络：原理与实践

彭博

8.2

Bayesian Reasoning and Machine Learning

David Barber

9.5

实用机器学习

[美] Henrik Brink

7.3

深入理解机器学习：从原理到算法

Shai Shalev Shwartz, Shai Ben David

6.3

联邦学习

杨强

6.4

Deep Learning

Ian Goodfellow, Yoshua Bengio, Aaron Courville, 约书亚·本吉奥

9.3