Data Science from Scratch: First Principles with Python

By | November 16, 2017
Data Science from Scratch: First Principles with Python Author Joel Grus
ISBN-10 149190142X
ISBN-13 9781491901427
Year 2015-04-30
Pages 330
Language English
Publisher O’Reilly Media
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Data science libraries frameworks modules and toolkits are great for doing data science but theyre also a good way to dive into the discipline without actually understanding data science In this book youll 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 Todays messy glut of data holds answers to questions no ones even thought to ask This book provides you with the know how to dig those answers out Get a crash course in PythonLearn the basics of linear algebra statistics and probabilityand understand how and when they re used in data scienceCollect explore clean munge and manipulate dataDive into the fundamentals of machine learningImplement models such as k nearest Neighbors Naive Bayes linear and logistic regression decision trees neural networks and clusteringExplore recommender systems natural language processing network analysis MapReduce and databases

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