T. White / Ray Practical Discrete Mathematics

Discover math principles that fuel algorithms for computer science and machine learning with Python
1. Auflage 2021
ISBN: 978-1-83898-350-5
Verlag: De Gruyter
Format: EPUB
Kopierschutz: 0 - No protection

E-Book, Englisch, 330 Seiten

No detailed description available for "Practical Discrete Mathematics".

Autoren/Hrsg.

T. White, Ryan

Ray, Archana Tikayat

Fachgebiete

• Mathematik | Informatik Mathematik Numerik und Wissenschaftliches Rechnen Optimierung
• Mathematik | Informatik Mathematik Stochastik
• Mathematik | Informatik Mathematik Mathematik Allgemein Diskrete Mathematik, Kombinatorik

Inhaltsverzeichnis

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

Über Autor(innen)

T. White Ryan:

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.Ray Archana Tikayat:

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.