Practical Discrete Mathematics: Discover math principles that fuel algorithms for computer science and machine learning with Python
Author:   Ryan T. White ,  Archana Tikayat Ray
Publisher:   Packt Publishing Limited
ISBN:  

9781838983147


Pages:   330
Publication Date:   15 January 2021
Format:   Paperback
Availability:   In Print   Availability explained
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Practical Discrete Mathematics: Discover math principles that fuel algorithms for computer science and machine learning with Python


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Author:   Ryan T. White ,  Archana Tikayat Ray
Publisher:   Packt Publishing Limited
Imprint:   Packt Publishing Limited
ISBN:  

9781838983147


ISBN 10:   1838983147
Pages:   330
Publication Date:   15 January 2021
Audience:   Professional and scholarly ,  College/higher education ,  Professional & Vocational ,  Undergraduate
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

Table of Contents Key Concepts, Notation, Set Theory, Relations, and Functions Formal Logic and Constructing Mathematical Proofs Computing with Base-n Numbers Combinatorics Using SciPy Elements of Discrete Probability Computational Algorithms in Linear Algebra Computational Requirements for Algorithms Storage and Feature Extraction of Graphs, Trees, and Networks Searching Data Structures and Finding Shortest Paths Regression Analysis with NumPy and Scikit-Learn Web Searches with PageRank Principal Component Analysis with Scikit-Learn

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Author Information

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.

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