About the Author
Boštjan Kaluža, PhD, is a researcher in articial intelligence and machine learning.
Boštjan is the chief data scientist at Evolven, a leading IT operations analytics
company, focusing on conguration 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, Boštjan served as a senior researcher in the department of intelligent
systems at the Jozef Stefan Institute, a leading Slovenian scientic research institution,
and led research projects involving pattern and anomaly detection, ubiquitous
computing, and multi-agent systems. Boštjan 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. Boštjan has extensive experience in
Java and Python, and he also lectures on Weka in the classroom.
Focusing on machine learning and data science, Boštjan has published numerous
articles in professional journals, delivered conference papers, and authored or
contributed to a number of patents. In 2013, Boštjan published his rst book on data
science, Instant Weka How-to, Packt Publishing, exploring how to leverage machine
learning using Weka. Learn more about him at http://bostjankaluza.net.
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