Practical Discrete Mathematics

BIRMINGHAM—MUMBAI

Practical Discrete Mathematics

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First published: January 2021

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Contributors

About the authors

Ryan T. White, Ph.D. is a mathematician, researcher, and consultant with expertise in machine learning and probability theory along with private-sector experience in algorithm development and data science. Dr. White is an assistant professor of mathematics at Florida Institute of Technology, where he leads an active academic research program centered on stochastic analysis and related algorithms, heads private-sector projects in machine learning, participates in numerous scientific and engineering research projects, and teaches courses in machine learning, neural networks, probability, and statistics at the undergraduate and graduate levels.

Archana Tikayat Ray is a Ph.D. student at Georgia Institute of Technology, Atlanta, where her research work is focused on machine learning and Natural Language Processing (NLP) applications. She has a master's degree from Georgia Tech as well, and a bachelor's degree in aerospace engineering from Florida Institute of Technology.

About the reviewer

Valeriy Babushkin is the senior director of data science at X5 Retail Group, where he leads a team of over 80 people in the fields of machine learning, data analysis, computer vision, NLP, R&D, and A/B testing. Valeriy is a Kaggle competition grandmaster and an attending lecturer at the National Research Institute's Higher School of Economics and Central Bank of Kazakhstan.

Valeriy served as a technical reviewer for the books AI Crash Course and Hands-On Reinforcement Learning with Python, Second Edition, both published by Packt.

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