Mastering Machine Learning with scikit-learn,2nd Edition

Mastering Machine Learning with scikit-learn - Second Edition 版本: Apply effective learning algorithms to real-world problems using scikit-learn book cover

Mastering Machine Learning with scikit-learn – Second Edition 版本: Apply effective learning algorithms to real-world problems using scikit-learn

Author(s): Gavin Hackeling (Author)

  • Publisher finelybook 出版社: Packt Publishing
  • Publication Date 出版日期: July 24, 2017
  • Edition 版本: 2nd ed.
  • Language 语言: English
  • Print length 页数: 254 pages
  • ISBN-10: 1788299876
  • ISBN-13: 9781788299879

Book Description

This book examines machine learning models including k-nearest neighbors, logistic regression, naive Bayes, random forests, and support vector machines. You will work through document classification, image recognition, and other example problems.

Editorial Reviews

About the Author

Gavin Hackeling is a data scientist and author. He was worked on a variety of machine learning problems, including automatic speech recognition, document classification, object recognition, and semantic segmentation. An alumnus of the University of North Carolina and New York University, he lives in Brooklyn with his wife and cat.

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下载地址

PDF, EPUB, MOBI | 74 MB | 2017-08-16 |

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