Level 5: Math Foundations of AI
From Vector Representations & Cosine Similarity
to Softmax & Building a Mini AI Search System.
Math & Python Textbook Series 9
“Curiosity about mathematics,
the foundation of everything in the AI era.”
Two free downloadable files : Hands-On Data Analysis with Python
Efficient learning with Colab note files linked to this book.
Beginner-friendly Python code explained step-by-step.
FilesStart Instantly in Your Browser—No Setup!
Contents
Chapter 1 What Is an AI System?
Chapter 2 Turning Information into Numbers
Chapter 3 Arrays, Vectors, and Matrices
Chapter 4 Representing Meaning with Vectors
Chapter 5 Measuring Closeness with Distance
Chapter 6 Measuring Closeness with Direction
Chapter 7 The Basics of Vector Search
Chapter 8 Turning Text into Numbers
Chapter 9 Considering Important Words
Chapter 10 Viewing AI Outputs with Probability
Chapter 11 The Softmax Function
Chapter 12 Probability and Loss
Chapter 13 Introduction to Recommendation AI
Chapter 14 Evaluating Search Results
Chapter 15 Building a Small AI Search System
Chapter 16 Capstone Project: Building a Vector Search AI
Appendix A Math Mini-Dictionary for AI Systems
Appendix B NumPy Computation Mini-Dictionary
Appendix C AI-Search Mini-Dictionary
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