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

About the Reviewer

Prashant Verma started his IT career in 2011 as a Java developer at Ericsson, working in the telecom domain. After a couple of years of Java EE experience, he moved into the big data domain, and has worked on almost all the popular big data technologies such as Hadoop, Spark, Kafka, Flume, Mongo, Cassandra, and so on. He has also worked in Scala and Python. Currently, he works with QA Infotech as Lead Data Engineer, working on solving e-learning domain problems using data analytics and machine learning.

Prashant has also worked on Apache Spark for Java Developers, Packt as a Technical Reviewer.

I want to thank Packt Publishing for giving me the chance to review the book, as well as my employer and my family for their patience while I was busy working on this book.