Bostjan Kaluza (作者)
Develop a sound strategy to solve predictive modelling problems using the most popular machine learning Java libraries
Explore a broad variety of data processing, machine learning, and natural language processing through diagrams, source code, and real-world applications
Packed with practical advice and tips to help you get to grips with applied machine learning


  • 书  名Java机器学习
  • 执行编辑关于本书的内容有任何问题,请联系 陈曦
  • 印刷方式黑白
  • 开  本16开
  • 出版状态正在排版
  • 原书名Machine Learning in Java
  • 原书号9781784396589




Bostjan Kaluza, PhD, is a researcher in artificial intelligence and machine learning. Bostjan is the chief data scientist at Evolven, a leading IT operations analytics company, focusing on configuration and change management. He works with machine learning, predictive analytics, pattern mining, and anomaly detection to turn data into understandable relevant information and actionable insight. Prior to Evolven, Bostjan served as a senior researcher in the department of intelligent systems at the Jozef Stefan Institute, a leading Slovenian scientific research institution, and led research projects involving pattern and anomaly detection, ubiquitous computing, and multi-agent systems. Bostjan was also a visiting researcher at the University of Southern California, where he studied suspicious and anomalous agent behavior in the context of security applications. Bostjan has extensive experience in Java and Python, and he also lectures on Weka in the classroom. Focusing on machine learning and data science, Bostjan has published numerous articles in professional journals, delivered conference papers, and authored or contributed to a number of patents. In 2013, Bostjan published his first book on data science, Instant Weka How-to, Packt Publishing, exploring how to leverage machine learning using Weka. Learn more about him at
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