Data Science from Scratch
1st Edition
Published on 1. May 2015
Book
Paperback/Softback
324 pages
978-1-4919-0142-7 (ISBN)
Description
This is a first-principles-based, practical introduction to the fundamentals of data science aimed at the mathematically-comfortable reader with some programming skills.
The book covers:
* The important parts of Python to know
* The important parts of Math / Probability / Statistics to know
* The basics of data science
* How commonly-used data science techniques work (learning by implementing them)
* What is Map-Reduce and how to do it in Python
* Other applications such as NLP, Network Analysis, and more
The book covers:
* The important parts of Python to know
* The important parts of Math / Probability / Statistics to know
* The basics of data science
* How commonly-used data science techniques work (learning by implementing them)
* What is Map-Reduce and how to do it in Python
* Other applications such as NLP, Network Analysis, and more
More details
Other editions
New editions
Book
05/2019
2nd Edition
O'Reilly
€66.00
Available immediately
Person
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