In-Depth Research Books
Comprehensive explorations of mathematics, machine learning, and AI systems—from theoretical foundations to production implementations.
Mathematical Awakening: Connecting the Equations of Nature and Intelligence
by Yevheniy Chuba • 2024
A comprehensive reference guiding you through core mathematical domains (calculus, linear algebra, probability, statistics) with applications from classical physics to modern machine learning. Integrates Python programming to visualize concepts and demonstrate how mathematics powers real-world AI systems.
Advanced Machine Learning and AI Projects: From Mathematical Theory to Real-World Implementation
by Yevheniy Chuba • 2024
50 comprehensive projects spanning healthcare, robotics, environmental science, finance, and cutting-edge AI applications. Demonstrates how to apply mathematical foundations to solve complex, real-world problems using state-of-the-art machine learning techniques.