Data Science from Scratch: First Principles with Python 原版 PDF

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Joel Grus, "Data Science from Scratch: First Principles with Python"
English | ISBN: 149190142X | 2015 | PDF (True) | 330 pages | 5 MB                                                

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 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

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关键词：Data Science Principles principle scratch Science discipline actually English science without

楼主，你的那么多论坛币了，每次的书还是大多数十个币是不是。。。。。。

thx for sharing.

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Data Science from Scratch

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学习学习。

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