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Statistics for Data Science

You're reading from  Statistics for Data Science

Product type Book
Published in Nov 2017
Publisher Packt
ISBN-13 9781788290678
Pages 286 pages
Edition 1st Edition
Languages
Concepts

Table of Contents (19) Chapters

Title Page
Credits
About the Author
About the Reviewer
www.PacktPub.com
Customer Feedback
Preface
Transitioning from Data Developer to Data Scientist Declaring the Objectives A Developer's Approach to Data Cleaning Data Mining and the Database Developer Statistical Analysis for the Database Developer Database Progression to Database Regression Regularization for Database Improvement Database Development and Assessment Databases and Neural Networks Boosting your Database Database Classification using Support Vector Machines Database Structures and Machine Learning

Credits

Author

James D. Miller

Copy Editor

Tasneem Fatehi

Reviewers

James C. Mott

Project Coordinator

 

Manthan Patel

Commissioning Editor

 

Veena Pagare

Proofreader

 

Safis Editing

Acquisition Editor

 

Tushar Gupta

Indexer

 

Aishwarya Gangawane

Content Development Editor

Snehal Kolte

Graphics

 

Tania Dutta

Technical EditorSayli Nikalje

Production Coordinator

 

Deepika Naik

 

 

 

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Statistics for Data Science
Published in: Nov 2017 Publisher: Packt ISBN-13: 9781788290678
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