scikit-learn机器学习(第2版)

scikit-learn机器学习(第2版)

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1: THE FUNDAMENTALS OF MACHINE LEARNING
2: SIMPLE LINEAR REGRESSION
3: CLASSIFICATION AND REGRESSION WITH K NEAREST NEIGHBORS
4: FEATURE EXTRACTION AND PREPROCESSING
5: FROM SIMPLE REGRESSION TO MULTIPLE REGRESSION
6: FROM LINEAR REGRESSION TO LOGISTIC REGRESSION
7: NAIVE BAYES
8: NONLINEAR CLASSIFICATION AND REGRESSION WITH DECISION TREES
9: FROM DECISION TREES TO RANDOM FORESTS, AND OTHER ENSEMBLE METHODS
10: THE PERCEPTRON
11: FROM THE PERCEPTRON TO SUPPORT VECTOR MACHINES
12: FROM THE PERCEPTRON TO ARTIFICIAL NEURAL NETWORKS
13: CLUSTERING WITH K-MEANS

  • 龙家晓言 今年 11-29 10:12

    请问这本书还在招募译者么?如何报名?

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    • 异步君
      异步君 今年 12-04 09:20

      您好,您可以点击编辑老师名字,直接私信联系我们的编辑老师就行,感谢您的关注!

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  • 书  号:
  • 页  数:
  • 印刷方式: 黑白印刷
  • 开  本: 16开
  • 出版状态: 诚招译者
  • 原书名: Mastering Machine Learning with scikit-learn - Second Edition
  • 原书号: 9781788299879

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