Data Science from Scratch 新书_图书内容介绍_剧情呢
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Data Science from Scratch读书介绍

类别 页数 译者 网友评分 年代 出版社
书籍 406页 2019 O'Reilly Media
定价 出版日期 最近访问 访问指数
USD 59.99 2019-05-13 … 2020-03-08 … 47
主题/类型/题材/标签
Python,大数据,Science",DM,"Data,
作者
Joel Grus      ISBN:9781492041139    原作名/别名:《》
内容和作者简介
Data Science from Scratch摘要

To really learn data science, you should not only master the tools—data science libraries, frameworks, modules, and toolkits—but also understand the ideas and principles underlying them. Updated for Python 3.6, this second edition of Data Science from Scratch shows you how these tools and algorithms work by implementing them from scratch.

If you have an aptitude for mathematics and some programming skills, author Joel Grus will help you get comfortable with the math and statistics at the core of data science, and with the hacking skills you need to get started as a data scientist. Packed with new material on deep learning, statistics, and natural language processing, this updated book shows you how to find the gems in today’s messy glut of data.

Get a crash course in Python

Learn the basics of linear algebra, statistics, and probability—and how and when they’re used in data science

Collect, explore, clean, munge, and manipulate data

Dive into the fundamentals of machine learning

Implement models such as k-nearest neighbors, Naïve Bayes, linear and logistic regression, decision trees, neural networks, and clustering

Explore recommender systems, natural language processing, network analysis, MapReduce, and databases

作者简介

Joel Grus is a research engineer at the Allen Institute for Artificial Intelligence. Previously he worked as a software engineer at Google and a data scientist at several startups. He lives in Seattle, where he regularly attends data science happy hours. He blogs infrequently at joelgrus.com and tweets all day long at @joelgrus.

本书后续版本
未发行或暂未收录
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