Mastering Machine Learning with scikit-learn

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This book examines machine learning models including logistic regression, decision trees, and support vector machines, and applies them to common problems such as categorizing documents and classifying images. It begins with the fundamentals of machine learning, introducing you to the supervised-unsupervised spectrum, the uses of training and test data, and evaluating models. You will learn how to use generalized linear models in regression problems, as well as solve problems with text and categorical features.

You will be acquainted with the use of logistic regression, regularization, and the various loss functions that are used by generalized linear models. The book will also walk you through an example project that prompts you to label the most uncertain training examples. You will also use an unsupervised Hidden Markov Model to predict stock prices.

By the end of the book, you will be an expert in scikit-learn and will be well versed in machine learning

Mastering Machine Learning with scikit-learn.pdf (3.81 MB, 需要: 10 个论坛币)

2014-11-17 15:46:23 上传

Mastering Machine Learning with scikit-learn
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关键词：scikit-learn Mastering Learning earning machine documents including machines learning problems

zhouxingchi 发表于 2014-11-17 15:48
This book examines machine learning models including logistic regression, decision trees, and suppor ...

谢谢 我路过看看！！

zhouxingchi 发表于 2014-11-17 15:48
This book examines machine learning models including logistic regression, decision trees, and suppor ...

先看看，看看

路过，不知道这个学过没有

THANKS

thanks for sharing.

感谢分享！