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Data Science from Scratch: First Principles with Python
US $7.19
ApproximatelyS$ 9.29
Condition:
Good
A book that has been read but is in good condition. Very minimal damage to the cover including scuff marks, but no holes or tears. The dust jacket for hard covers may not be included. Binding has minimal wear. The majority of pages are undamaged with minimal creasing or tearing, minimal pencil underlining of text, no highlighting of text, no writing in margins. No missing pages.
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Located in: San Jose, California, United States
Delivery:
Estimated between Wed, 1 Oct and Fri, 3 Oct to 94104
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eBay item number:286846360364
Item specifics
- Condition
- Release Year
- 2015
- Book Title
- Data Science from Scratch: First Principles with Python
- ISBN
- 9781491901427
About this product
Product Identifiers
Publisher
O'reilly Media, Incorporated
ISBN-10
149190142X
ISBN-13
9781491901427
eBay Product ID (ePID)
28038373281
Product Key Features
Number of Pages
330 Pages
Language
English
Publication Name
Data Science from Scratch : First Principles with Python
Publication Year
2015
Subject
Data Modeling & Design, Data Processing, Databases / Data Mining, Databases / General, Programming Languages / Python
Type
Textbook
Subject Area
Computers
Format
Trade Paperback
Dimensions
Item Height
0.7 in
Item Weight
21.2 Oz
Item Length
9.1 in
Item Width
7.2 in
Additional Product Features
Intended Audience
Scholarly & Professional
LCCN
2015-472852
Dewey Edition
23
Illustrated
Yes
Dewey Decimal
006.312
Synopsis
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
LC Classification Number
QA76.9.D343
Item description from the seller
Seller feedback (200,747)
- a***e (721)- Feedback left by buyer.Past monthVerified purchaseGreat book
- eBay automated feedback- Feedback left by buyer.Past monthOrder completed successfully—tracked and on time
- eBay automated feedback- Feedback left by buyer.Past monthOrder completed successfully—tracked and on time
Seller feedback (200,747)
- a***e (721)- Feedback left by buyer.Past monthVerified purchaseGreat book
- eBay automated feedback- Feedback left by buyer.Past monthOrder completed successfully—tracked and on time
- eBay automated feedback- Feedback left by buyer.Past monthOrder completed successfully—tracked and on time