我爱电子书 - ML

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标签名: ML

Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques for Building Intelligent Systems — 出版日期: 2017-01

Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques for Building Intelligent Systems

评分: 9.2

Modern Compiler Implementation in ML — 出版日期: 2004-01

Modern Compiler Implementation in ML

评分: 9.2

Real World OCaml: Introduction to a Flexible and Concise Programming Language — 出版日期: 2013-01

Real World OCaml: Introduction to a Flexible and Concise Programming Language

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

Introduction to Machine Learning with Python — 出版日期: 2016-01

Introduction to Machine Learning with Python

评分: 9.0

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

The Little MLer — 出版日期: 1998-01

The Little MLer

评分: 8.7

ML程序设计教程 — 出版日期: 2005-01

ML程序设计教程

评分: 8.7

Understanding Machine Learning: From Theory to Algorithms — 出版日期: 2014-01

Understanding Machine Learning: From Theory to Algorithms

评分: 8.3

Machine Learning: An Algorithmic Perspective — 出版日期: 2009-01

Machine Learning: An Algorithmic Perspective

评分: 8.1

Real-World Machine Learning — 出版日期: 2015-01

Real-World Machine Learning

评分: 8.1

Machine Learning: The Art and Science of Algorithms that Make Sense of Data — 出版日期: 2012-01

Machine Learning: The Art and Science of Algorithms that Make Sense of Data

评分: 7.8

Natural Language Annotation for Machine Learning: A Guide to Corpus-Building for Applications — 出版日期: 2012-01

Natural Language Annotation for Machine Learning: A Guide to Corpus-Building for Applications

评分: 7.6

OCaml from the Very Beginning — 出版日期: 2013-01

OCaml from the Very Beginning

评分: 7.2

机器学习基础教程: A First Course in Machine Learning — 出版日期: 2014-01

机器学习基础教程: A First Course in Machine Learning

评分: 7.1

Python机器学习实践指南 — 出版日期: 2017-01

Python机器学习实践指南

评分: 7.0

Feature Engineering for Machine Learning Models — 出版日期: 2017-01

Feature Engineering for Machine Learning Models

评分: 6.5

深入理解AutoML和AutoDL：构建自动化机器学习与深度学习平台 — 出版日期: 2019-01

深入理解AutoML和AutoDL：构建自动化机器学习与深度学习平台

评分: 5.5

Développement d'applications avec Objective Caml — 出版日期: 2000-01

Développement d'applications avec Objective Caml

评分: 0.0

The EM Algorithm and Extensions — 出版日期: 2008-01

The EM Algorithm and Extensions

评分: 0.0

Unsupervised Learning: Foundations of Neural Computation — 出版日期: 1999-01

Unsupervised Learning: Foundations of Neural Computation

评分: 0.0

Neural Network Learning: Theoretical Foundations — 出版日期: 2009-01

Neural Network Learning: Theoretical Foundations

评分: 0.0

深度学习: 一起玩转TensorLayer — 出版日期: 2018-01

深度学习: 一起玩转TensorLayer

评分: 0.0