Granville V. Applied Stochastic Processes, Chaos Modeling, and Probabilistic Properties of Numeration Systems

Machine Learning Techniques, 2018. — 106 p.This book is intended for professionals in data science, computer science, operations research, statistics, machine learning, big data, and mathematics. In 100 p., it covers many new topics, offering a fresh perspective on the subject. It is accessible to practitioners with a two-year college-level exposure to statistics and probability. The compact and tutorial style, featuring many applications (Blockchain, quantum algorithms, HPC, random number generation, cryptography, Fintech, web crawling, statistical testing) with numerous illustrations, is aimed at practitioners, researchers, and executives in various quantitative fields.New ideas, advanced topics, and state-of-the-art research are discussed in simple English, without using jargon or arcane theory. It unifies topics that are usually part of different fields (data science, operations research, dynamical systems, computer science, number theory, probability) broadening the knowledge and interest of the reader in ways that are not found in any other book. This short book contains a large amount of condensed material that would typically be covered in 500 p. in traditional publications. Thanks to cross-references and redundancy, the chapters can be read independently, in random order.