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题名/责任者:

Data science from scratch = 数据科学入门 / Joel Grus著.

版本说明:

Second edition.

出版发行项:

南京 : 东南大学出版社, 2020.

ISBN:

9787564188269

载体形态项:

xvii, 384 pages : illustrations ; 24 cm

变异题名:

数据科学入门 : 基于Python语言

个人责任者:

Grus, Joel (Software engineer), author.

论题主题:

Python (Computer program language)

论题主题:

Database management.

论题主题:

Data structures (Computer science)

论题主题:

Data mining.

论题主题:

Data mining-Mathematics.

中图法分类号:

TP311.561

书目附注:

Includes bibliographical references and index.

内容附注:

Introduction -- A crash course in Python -- Visualizing data -- Linear algebra -- Statistics -- Probability -- Hypothesis and inference -- Gradient descent -- Getting data -- Working with data -- Machine learning -- k-Nearest neighbors -- Naive bayes -- Simple linear regression -- Multiple regression -- Logistic regression -- Decision trees -- Neural networks -- Deep learning -- Clustering -- Natural language processing -- Network analysis -- Recommender systems -- Databases and SQL -- MapReduce -- Data ethics -- Go forth and do data science.

原版附注:

Reprint. Originally published: Sebastopol, CA : O'Reilly Media,2019.

豆瓣简介：