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Java Data Science Cookbook

You're reading from Java Data Science Cookbook Explore the power of MLlib, DL4j, Weka, and more

Product type Paperback

Published in Mar 2017

Publisher Packt

ISBN-13 9781787122536

Length 372 pages

Edition 1st Edition

Languages

Java

Tools

Weka

Concepts

Data Analysis

Author (1):

Rushdi Shams

View More author details

Table of Contents (16) Chapters

Java Data Science Cookbook

Credits

About the Author

About the Reviewer

www.PacktPub.com

Customer Feedback

Preface

1. Obtaining and Cleaning Data FREE CHAPTER

2. Indexing and Searching Data

3. Analyzing Data Statistically

4. Learning from Data - Part 1

5. Learning from Data - Part 2

6. Retrieving Information from Text Data

7. Handling Big Data

8. Learn Deeply from Data

9. Visualizing Data

Chapter 7. Handling Big Data

In this chapter, we will cover the following recipes:

Training an online logistic regression model using Apache Mahout
Applying an online logistic regression model using Apache Mahout
Solving simple text-mining problems with Apache Spark
Clustering using KMeans algorithm with MLib
Creating a linear regression model with MLib
Classifying data points with a Random Forest model using MLib

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Authors (1)

Shams

Shams

Rushdi Shams has a Ph.D. on Application of machine learning in Natural Language Processing (NLP) problem areas from Western University, Canada. Before starting work as a machine learning and NLP specialist in the industry, he was engaged in teaching undergrad and grad courses. He has been successfully maintaining his YouTube channel named "Learn with Rushdi" for learning computer technologies.

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