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
About the Author
About the Reviewer
Customer Feedback


In this chapter, you will learn two very important recipes. The first recipe demonstrates how you can index your data, and the second recipe, which is very closely connected to the first recipe, demonstrates how you can search through your indexed data.

For both indexing and searching, we will be using Apache Lucene. Apache Lucene is a free, opensource Java software library used heavily for information retrieval. It is supported by the Apache Software Foundation and is released under the Apache Software License.

Many different modern search platforms, such as Apache Solr and ElasticSearch, or crawling platforms, such as Apache Nutch, use Apache Lucene in the backend for data indexing and searching. Therefore, any data scientist who learns those search platforms will benefit from the two basic recipes in this chapter.