Coupon
Data Science from Scratch : First Principles with Python
by Joel Grus


Overview -

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.  Read more...


 
Paperback
  • $39.99

Add to Cart + Add to Wishlist

In Stock Online.

FREE Shipping for Club Members
 
> Check In-Store Availability

In-Store pricing may vary

 
 
New & Used Marketplace 30 copies from $13.99
 
 
 

More About Data Science from Scratch by Joel Grus
 
 
 
Overview

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 PythonLearn the basics of linear algebra, statistics, and probability and 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"

 
Details
  • ISBN-13: 9781491901427
  • ISBN-10: 149190142X
  • Publisher: O'Reilly Media
  • Publish Date: April 2015
  • Page Count: 330
  • Dimensions: 9 x 6.9 x 0.7 inches
  • Shipping Weight: 1.1 pounds


Related Categories

Books > Computers & Internet > Data Modeling & Design
Books > Computers & Internet > Data Processing
Books > Computers & Internet > Databases - Data Mining

 
BAM Customer Reviews