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Essential Math for AI Exploring Linear Algebra, Probability and Statistics, Calculus, Optimization Techniques, and More - Andrew Hinton November 12, 2023 PDF | EPUB | MOBI Book Bound Studios BOOKS
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Essential Math for AI Exploring Linear Algebra, Probability and Statistics, Calculus, Optimization Techniques, and More
Author: Andrew Hinton
Year: November 12, 2023
Pages: 172
Format: PDF | EPUB | MOBI
File size: 10.1 MB
Language: ENG



Essential Math for AI Exploring Linear Algebra Probability and Statistics Calculus Optimization Techniques and More The world we live in today is constantly evolving and changing at an incredible pace. With the advent of artificial intelligence (AI) and machine learning, it's becoming increasingly important to have a solid understanding of mathematical concepts that underlie these technologies. This book provides readers with a comprehensive introduction to linear algebra, probability and statistics, calculus, optimization techniques, and more - all essential tools for exploring the world of AI. Linear Algebra Linear algebra is the study of vector spaces and linear transformations. In this book, we will explore topics such as matrices, determinants, eigenvalues, and eigenvectors, providing readers with a solid foundation in this critical area of mathematics. We will also delve into the applications of linear algebra in computer vision, natural language processing, and other areas of AI research. Probability and Statistics Probability and statistics are fundamental to understanding how AI systems make decisions and predict outcomes.
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