There are over 70 Java-based open source machine learning projects listed on the MLOSS.org website, and probably many more unlisted projects live at university servers, GitHub, or Bitbucket. In this section, we will review the major libraries and platforms, the kind of problems they can solve, the algorithms they support, and the kind of data they can work with.
Machine learning libraries
by Bostjan Kaluza, AshishSingh Bhatia
Machine Learning in Java - Second Edition
- Title Page
- Copyright and Credits
- Contributors
- About Packt
- Preface
- Applied Machine Learning Quick Start
- Java Libraries and Platforms for Machine Learning
- Basic Algorithms - Classification, Regression, and Clustering
- Before you start
- Classification
- Regression
- Clustering
- Summary
- Customer Relationship Prediction with Ensembles
- Affinity Analysis
- Recommendation Engines 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?
- Other Books You May Enjoy
Machine learning libraries
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