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Data Science from Scratch : First Principles with Python by Joel Grus (2015, Trade Paperback)

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Informazioni su questo prodotto

Product Identifiers

PublisherO'reilly Media, Incorporated

ISBN-10149190142X

ISBN-139781491901427

eBay Product ID (ePID)28038373281

Product Key Features

Number of Pages330 Pages

LanguageEnglish

Publication NameData Science from Scratch : First Principles with Python

Publication Year2015

SubjectData Modeling & Design, Data Processing, Databases / Data Mining, Databases / General, Programming Languages / Python

TypeTextbook

Subject AreaComputers

AuthorJoel Grus

FormatTrade Paperback

Dimensions

Item Height0.7 in

Item Weight21.2 Oz

Item Length9.1 in

Item Width7.2 in

Additional Product Features

Intended AudienceScholarly & Professional

LCCN2015-472852

Dewey Edition23

IllustratedYes

Dewey Decimal006.312

SynopsisData science libraries, frameworks, modules, and toolkits are great for doing data science, but they're also a good way to dive into the discipline without actually understanding data science. In this book, you'll learn how many of the most fundamental data science 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 hacking skills you need to get started as a data scientist. Today's messy glut of data holds answers to questions no one's even thought to ask. This book provides you with the know-how to dig those answers out. Get a crash course in Python Learn the basics of linear algebra, statistics, and probability--and understand 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, Naive Bayes, linear and logistic regression, decision trees, neural networks, and clustering Explore recommender systems, natural language processing, network analysis, MapReduce, and databases

LC Classification NumberQA76.9.D343