Machine Learning in Java
Helpful techniques to design, build, and deploy powerful machine learning applications in Java
2nd Edition
Published on 23. September 2024
300 pages
978-1-78847-389-7 (ISBN)
Description
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Ashishsingh Bhatia | Bostjan Kaluza
Machine Learning in Java
Helpful techniques to design, build, and deploy powerful machine learning applications in Java
Book
11/2018
2nd Edition
Packt Publishing
€51.10
Shipment within 3-4 weeks
Persons
Kaluza Bostjan :
Bostjan Kaluza is a researcher in artificial intelligence and machine learning with extensive experience in Java and Python. Bostjan is the chief data scientist at Evolven, a leading IT operations analytics company. He works with machine learning, predictive analytics, pattern mining, and anomaly detection to turn data into relevant information. Prior to Evolven, Bostjan served as a senior researcher in the department of intelligent systems at the Jozef Stefan Institute and led research projects involving pattern and anomaly detection, ubiquitous computing, and multi-agent systems. In 2013, Bostjan published his first book, Instant Weka How-To, published by Packt Publishing, exploring how to leverage machine learning using Weka.
Bostjan Kaluza is a researcher in artificial intelligence and machine learning with extensive experience in Java and Python. Bostjan is the chief data scientist at Evolven, a leading IT operations analytics company. He works with machine learning, predictive analytics, pattern mining, and anomaly detection to turn data into relevant information. Prior to Evolven, Bostjan served as a senior researcher in the department of intelligent systems at the Jozef Stefan Institute and led research projects involving pattern and anomaly detection, ubiquitous computing, and multi-agent systems. In 2013, Bostjan published his first book, Instant Weka How-To, published by Packt Publishing, exploring how to leverage machine learning using Weka.
Content
Table of Contents - Applied Machine Learning Quick Start
- Java Libraries and Platforms for Machine Learning
- Basic Algorithms
- 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
- What is Next?
- Java Libraries and Platforms for Machine Learning
- Basic Algorithms
- 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
- What is Next?
