Machine Learning in Java
Machine Learning in Java will provide you with the techniques and tools you need to quickly gain insight from complex data. You will start by learning how to apply machine learning methods to a variety of common tasks including classification, prediction, forecasting, market basket analysis, and clustering.
Offered by
Difficulty Level
Intermediate
Completion Time
10h
Language
English
About Book
Who Is This Book For?
If you want to learn how to use Java's machine learning libraries to gain insight from your data, this book is for you. It will get you up and running quickly and provide you with the skills you need to successfully create, customize, and deploy machine learning applications with ease. You should be familiar with Java programming and some basic data mining concepts to make the most of this book, but no prior experience with machine learning is required.
Machine Learning in Java
- About Book
- Who Is This Book For?
- Book Content
Book content
chapters • 10h total length
Applied Machine Learning Quick Start
Java Libraries and Platforms for Machine Learning
Basic Algorithms – Classification, Regression, and Clustering
Customer Relationship Prediction with Ensembles
Affinity Analysis
Recommendation Engine with Apache Mahout
Fraud and Anomaly Detection
Image Recognition with Deeplearning4j
Activity Recognition with Mobile Phone Sensors
Text Mining with Mallet – Topic Modeling and Spam Detection
What is Next?
Related Resources
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