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Greenworld Books, Arlington, TX, U.S.A.
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Fast Free Shipping â Good condition. It may show normal signs of use, such as light writing, highlighting, or library markings, but all pages are intact and the book is fully readable. A solid, complete copy that's ready to enjoy. Seller Inventory # GWV.149190142X.G
<div><p>Data 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 <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’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.</p><ul><li>Get a crash course in Python</li><li>Learn the basics of linear algebra, statistics, and probability—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>
About the Author: 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
Title: Data Science from Scratch: First Principles ...
Publisher: O'Reilly Media
Publication Date: 2015
Binding: Soft cover
Condition: good
Seller: New Legacy Books, Annandale, NJ, U.S.A.
paperback. Condition: Good. Fast shipping and order satisfaction guaranteed. A portion of your purchase benefits Non-Profit Organizations, First Aid and Fire Stations! Seller Inventory # mon0000051980
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paperback. Condition: Good. 1st Edition. Corners are bent. Used - Good. Seller Inventory # 4-A-5-1034
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Seller: Greenworld Books, Arlington, TX, U.S.A.
Condition: acceptable. Fast Free Shipping â" A well-loved copy with text fully readable and cover pages intact. May display wear such as writing, highlighting, bends, folds or library marks. Still a complete and usable book. Seller Inventory # GWV.149190142X.A
Seller: Goodwill Southern California, Los Angeles, CA, U.S.A.
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Seller: World of Books (was SecondSale), Montgomery, IL, U.S.A.
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Seller: Zoom Books East, Glendale Heights, IL, U.S.A.
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Seller: Wonder Book, Frederick, MD, U.S.A.
Condition: Good. Good condition. A copy that has been read but remains intact. May contain markings such as bookplates, stamps, limited notes and highlighting, or a few light stains. Seller Inventory # Z12K-00673
Seller: Goodwill of Silicon Valley, SAN JOSE, CA, U.S.A.
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Seller: BooksRun, Philadelphia, PA, U.S.A.
Paperback. Condition: Fair. 1. The item might be beaten up but readable. May contain markings or highlighting, as well as stains, bent corners, or any other major defect, but the text is not obscured in any way. Seller Inventory # 149190142X-7-1