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R语言机器学习 第2版 影印版 by Brett Lantz, 兰茨 (Lantz,Brett) is a book available to read on EtoBox.

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1 (p1): Chapter 1:Introducing Machine Learning 2 (p1-1): The origins of machine learning 4 (p1-2): Uses and abuses of machine learning 5 (p1-3): Machine learning successes 5 (p1-4): The limits of machine learning 7 (p1-5): Machine learning ethics 9 (p1-6): How machines learn 10 (p1-7): Data storage 11 (p1-8): Abstraction 13 (p1-9): Generalization 14 (p1-10): Evaluation 16 (p1-11): Machine learning in practice 17 (p1-12): Types of input data 19 (p1-13): Types of machine learning algorithms 21 (p1-14): Matching input data to algorithms 22 (p1-15): Machine learning with R 23 (p1-16): Installing R packages 24 (p1-17): Loading and unloading R packages 25 (p1-18): Summary 27 (p2): Chapter 2:Managing and Understanding Data 28 (p2-1): R data structures 28 (p2-2): Vectors 30 (p2-3): Factors 32 (p2-4): Lists 35 (p2-5): Data frames 37 (p2-6): Matrixes and arrays 39 (p2-7): Managing data with R 39 (p2-8): Saving,loading,and removing R data structures 41 (p2-9): Importing and saving data from CSV files 42 (p2-10): Exploring and understanding data 43 (p2-11): Exploring the structure of data 44 (p2-12): Exploring numeric variables 45 (p2-13): Measuring the central tendency-mean and median 47 (p2-

Author

Brett Lantz, 兰茨 (Lantz,Brett)

Publisher

南京:东南大学出版社

Published

2017

Language

ZH

ISBN

9787564170714