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Python for Probability, Statistics, and Machine Learning | José Unpingco

This textbook, featuring Python 3.7, covers the key ideas that link probability, statistics, and machine learning illustrated using Python modules. Features fully updated explanation on how to simulate, conceptualize, and visualize random statistical processes and apply machine learning methods.
United States San Diego Yujia Zhang Eugene Callahan University Of California Research Organization

Process Mining - Data Science in Action | Wil van der Aalst

Process Mining First book on process mining, bridging the gap between business process modeling and business intelligence and positioning process mining within the rapidly growing data science discipline This second edition includes over 150 pages of new material, e.g. on data quality, the relation to data science, inductive mining techniques and the notion of alignments Written by one of the most influential and most-cited computer scientists and the best-known BPM researcher Self-contained an...
Noord Brabant Gulustan Dogan Queensland University Of Technology Data Science Center Eindhoven Computer Science Technische Universiteit Eindhoven

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