Data Science from Scratch

Grus, Joel

ISBN 10: 149190142X / ISBN 13: 9781491901427

Verlag: O'Reilly Media, 2015

Beschreibung

Gut/Very good: Buch bzw. Schutzumschlag mit wenigen Gebrauchsspuren an Einband, Schutzumschlag oder Seiten. / Describes a book or dust jacket that does show some signs of wear on either the binding, dust jacket or pages.

Bestandsnummer des Verkäufers M0149190142X-V

Bibliografische Details

• Titel: Data Science from Scratch
• Verlag: O'Reilly Media
• Erscheinungsjahr: 2015
• Sprache: Englisch
• ISBN-10: 149190142X
• ISBN-13: 9781491901427
• Einband: Softcover
• Zustand: very good

Über diesen Titel

Inhaltsangabe

<div><p>Data science libraries, frameworks, modules, and toolkits are great for doing data science, but they&#8217;re also a good way to dive into the discipline without actually understanding data science. In this book, you&#8217;ll learn how many of the most fundamental data science tools and algorithms work by implementing them <i>from scratch</i>.</p><p>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&#8217;s messy glut of data holds answers to questions no one&#8217;s even thought to ask. This book provides you with the know-how to dig those answers out.</p><ul><li>Get a crash course in Python</li><li>Learn the basics of linear algebra, statistics, and probability&#8212;and understand how and when they're used in data science</li><li>Collect, explore, clean, munge, and manipulate data</li><li>Dive into the fundamentals of machine learning</li><li>Implement models such as k-nearest Neighbors, Naive Bayes, linear and logistic regression, decision trees, neural networks, and clustering</li><li>Explore recommender systems, natural language processing, network analysis, MapReduce, and databases</li></ul></div>

Über die Autorin bzw. den Autor

Joel Grus is Chief Scientist and Head of Analytics at VoloMetrix, an enterprise analytics startup in Seattle. He has been doing data science since before it was called that, at a handful of Seattle startups before this one, and at Bing when one of those startups got bought by Microsoft. He's been using Python for almost 10 years. Joel is active in the Seattle data science community and maintains a blog at joelgrus.com