Book Image

Mastering Java for Data Science

By : Alexey Grigorev
Book Image

Mastering Java for Data Science

By: Alexey Grigorev

Overview of this book

Java is the most popular programming language, according to the TIOBE index, and it is a typical choice for running production systems in many companies, both in the startup world and among large enterprises. Not surprisingly, it is also a common choice for creating data science applications: it is fast and has a great set of data processing tools, both built-in and external. What is more, choosing Java for data science allows you to easily integrate solutions with existing software, and bring data science into production with less effort. This book will teach you how to create data science applications with Java. First, we will revise the most important things when starting a data science application, and then brush up the basics of Java and machine learning before diving into more advanced topics. We start by going over the existing libraries for data processing and libraries with machine learning algorithms. After that, we cover topics such as classification and regression, dimensionality reduction and clustering, information retrieval and natural language processing, and deep learning and big data. Finally, we finish the book by talking about the ways to deploy the model and evaluate it in production settings.
Table of Contents (17 chapters)
Title Page
About the Author
About the Reviewers
Customer Feedback

Case study - page prediction

Now we will continue with our running example, the search engine. What we want to do here is to try to predict whether a URL comes from the first page of the search engine results or not. So, it is time to use the material we have covered so far in this chapter.

In Chapter 2, Data Processing Toolbox, we created the following object to store the information about pages:

public class RankedPage { 
    private String url; 
    private int position; 
    private int page; 
    private int titleLength; 
    private int bodyContentLength; 
    private boolean queryInTitle; 
    private int numberOfHeaders; 
    private int numberOfLinks; 

First, we can start by adding a few methods to this object, as follows:

  • isHttps: This should tell us if the URL is HTTPS and can be implemented with url.startsWith("https://")
  • isComDomain: This should tells us if the URL belongs to the COM domain and whether we can implement it with url.contains(".com")
  • isOrgDomain, isNetDomain: This...