Book Image

Java Data Science Cookbook

By : Rushdi Shams
Book Image

Java Data Science Cookbook

By: Rushdi Shams

Overview of this book

If you are looking to build data science models that are good for production, Java has come to the rescue. With the aid of strong libraries such as MLlib, Weka, DL4j, and more, you can efficiently perform all the data science tasks you need to. This unique book provides modern recipes to solve your common and not-so-common data science-related problems. We start with recipes to help you obtain, clean, index, and search data. Then you will learn a variety of techniques to analyze, learn from, and retrieve information from data. You will also understand how to handle big data, learn deeply from data, and visualize data. Finally, you will work through unique recipes that solve your problems while taking data science to production, writing distributed data science applications, and much more - things that will come in handy at work.
Table of Contents (16 chapters)
Java Data Science Cookbook
Credits
About the Author
About the Reviewer
www.PacktPub.com
Customer Feedback
Preface

Credits

Author

Rushdi Shams

Copy Editors

Vikrant Phadke

Manisha Sinha

Reviewer

Prashant Verma

Project Coordinator

Nidhi Joshi

Commissioning Editor

Veena Pagare

Proofreader

Safis Editing

Acquisition Editor

Ajith Menon

Indexer

Aishwarya Gangawane 

Content Development Editor

Cheryl Dsa

Graphics

Tania Dutta

Technical Editor

Dharmendra Yadav

Production Coordinator

Arvindkumar Gupta