Mathematical Foundations of AI and Data Science: Discrete Structures, Graphs, Logic, and Combinatorics in Practice (AI Concepts using mathematics)
Mathematical Foundations of AI and Data Science introduces discrete structures, graphs, logic, and combinatorics in practice. Authored by Anshuman Mishra, it equips readers with essential mathematical tools for artificial intelligence and data science. The content emphasizes practical applications within math and AI frameworks, building a strong foundational understanding for computational challenges.
About This Book
This book provides a comprehensive look at the mathematical underpinnings of artificial intelligence and data science. It focuses on key areas that form the backbone of modern computational methods.
Readers will gain insights into discrete structures, which are fundamental for understanding algorithms and data organization in AI systems.
The text covers graphs and their applications, essential for modeling relationships and networks in data science practices.
Logic is examined as a core component, enabling reasoning and decision-making processes in intelligent systems.
Combinatorics is presented with practical examples, highlighting counting principles and optimization techniques used in AI development.
Overall, the book bridges theoretical mathematics with real-world applications in math and artificial intelligence.
Reviews
No reviews yet. Be the first to review this book!