Description: Data Science from Scratch : First Principles With Python, Paperback by Grus, Joel, ISBN 1492041130, ISBN-13 9781492041139, Brand New, Free shipping in the US 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 , 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 PythonLearn the basics of linear algebra, statistics, and probability'and 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, Naïve 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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Book Title: Data Science from Scratch : First Principles With Python
Item Length: 9.1in
Item Height: 0.8in
Item Width: 7.4in
Author: Joel Grus
Publication Name: Data Science from Scratch : First Principles with Python
Format: Trade Paperback
Language: English
Publisher: O'reilly Media, Incorporated
Publication Year: 2019
Type: Textbook
Item Weight: 24.9 Oz
Number of Pages: 500 Pages