Book Image

Mastering Java Machine Learning

By : Uday Kamath, Krishna Choppella
Book Image

Mastering Java Machine Learning

By: Uday Kamath, Krishna Choppella

Overview of this book

Java is one of the main languages used by practicing data scientists; much of the Hadoop ecosystem is Java-based, and it is certainly the language that most production systems in Data Science are written in. If you know Java, Mastering Machine Learning with Java is your next step on the path to becoming an advanced practitioner in Data Science. This book aims to introduce you to an array of advanced techniques in machine learning, including classification, clustering, anomaly detection, stream learning, active learning, semi-supervised learning, probabilistic graph modeling, text mining, deep learning, and big data batch and stream machine learning. Accompanying each chapter are illustrative examples and real-world case studies that show how to apply the newly learned techniques using sound methodologies and the best Java-based tools available today. On completing this book, you will have an understanding of the tools and techniques for building powerful machine learning models to solve data science problems in just about any domain.
Table of Contents (20 chapters)
Mastering Java Machine Learning
Credits
Foreword
About the Authors
About the Reviewers
www.PacktPub.com
Customer Feedback
Preface
Linear Algebra
Index

Tools and usage


We will now discuss some of the most well-known tools and libraries in Java that are used in various NLP and text mining applications.

Mallet

Mallet is a Machine Learning toolkit for text written in Java, which comes with several natural language processing libraries, including those some for document classification, sequence tagging, and topic modeling, as well as various Machine Learning algorithms. It is open source, released under CPL. Mallet exposes an extensive API (see the following screenshots) to create and configure sequences of "pipes" for pre-processing, vectorizing, feature selection, and so on, as well as to extend implementations of classification and clustering algorithms, plus a host of other text analytics and Machine Learning capabilities.

KNIME

KNIME is an open platform for analytics with Open GL licensing with a number of powerful tools for conducting all aspects of data science. The Text Processing module is available for separate download from KNIME Labs...