我爱电子书 - MachineLearning

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标签名: MachineLearning

Ensemble Methods: Foundations and Algorithms — 出版日期: 2012-01

Ensemble Methods: Foundations and Algorithms

评分: 10.0

Hands-on Machine Learning with Scikit-Learn, Keras, and TensorFlow, 2nd Edition: Concepts, Tools, and Techniques to Build Intelligent Systems — 出版日期: 2019-01

Hands-on Machine Learning with Scikit-Learn, Keras, and TensorFlow, 2nd Edition: Concepts, Tools, and Techniques to Build Intelligent Systems

评分: 9.9

Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond (Adaptive Computation and Machine Learning) — 出版日期: 2001-01

Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond (Adaptive Computation and Machine Learning)

评分: 9.9

Reinforcement Learning: An Introduction (second edition) — 出版日期: 2018-01

Reinforcement Learning: An Introduction (second edition)

评分: 9.8

Pattern Recognition and Machine Learning — 出版日期: 2007-01

Pattern Recognition and Machine Learning

评分: 9.5

Bayesian Reasoning and Machine Learning — 出版日期: 2011-01

Bayesian Reasoning and Machine Learning

评分: 9.5

Computer Vision: Models, Learning, and Inference — 出版日期: 2012-01

Computer Vision: Models, Learning, and Inference

评分: 9.5

Statistical Learning Theory — 出版日期: 1998-01

Statistical Learning Theory

评分: 9.5

Learning From Data: A Short Course — 出版日期: 2012-01

Learning From Data: A Short Course

评分: 9.4

Deep Learning: Adaptive Computation and Machine Learning series — 出版日期: 2016-01

Deep Learning: Adaptive Computation and Machine Learning series

评分: 9.3

Applied Predictive Modeling — 出版日期: 2013-01

Applied Predictive Modeling

评分: 9.3

Boosting: Foundations and Algorithms — 出版日期: 2012-01

Boosting: Foundations and Algorithms

评分: 9.2

Foundations of Machine Learning — 出版日期: 2012-01

Foundations of Machine Learning

评分: 9.1

Prediction, Learning, and Games — 出版日期: 2006-01

Prediction, Learning, and Games

评分: 9.1

Numerical Python: A Practical Techniques Approach for Industry: A Practical Techniques Approach for Industry — 出版日期: 2015-01

Numerical Python: A Practical Techniques Approach for Industry: A Practical Techniques Approach for Industry

评分: 9.1

统计学习方法 — 出版日期: 2012-01

统计学习方法

评分: 9.0

Probabilistic Graphical Models: Principles and Techniques — 出版日期: 2009-01

Probabilistic Graphical Models: Principles and Techniques

评分: 9.0

Machine Learning: A Probabilistic Perspective — 出版日期: 2012-01

Machine Learning: A Probabilistic Perspective

评分: 9.0

机器学习 — 出版日期: 2016-01

机器学习

评分: 8.7

Neural Networks and Learning Machines: Third Edition — 出版日期: 2008-01

Neural Networks and Learning Machines: Third Edition

评分: 8.7

Gaussian Processes for Machine Learning (Adaptive Computation and Machine Learning) — 出版日期: 2005-01

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

评分: 8.7

Python Machine Learning: Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow, 2nd Edition — 出版日期: 2017-01

Python Machine Learning: Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow, 2nd Edition

评分: 8.6

Machine Learning in Action — 出版日期: 2012-01

Machine Learning in Action

评分: 8.5

Python机器学习基础教程 — 出版日期: 2018-01

Python机器学习基础教程

评分: 8.5