Unit 1: Vector Basics
Unit 2: Vector Operations
Unit 3: Dot Product and Applications
Foundational Mathematics for AI, ML, and Computer Vision: A High School Math Refresher
Unlock the mathematical bedrock of AI, ML, and Computer Vision, transforming your high school math knowledge into powerful tools for the future of technology.
Unit 1: Matrix Basics
Unit 2: Basic Matrix Operations
Unit 3: Matrix Multiplication
Unit 4: Matrices in AI/ML
Unit 1: From Scalars to Tensors
Unit 2: Tensor Properties and Operations
Unit 3: Tensors in AI and Computer Vision
Unit 1: The Essence of Change
Unit 2: The Derivative Defined
Unit 3: Basic Differentiation Rules
Unit 4: Derivatives in Action
Unit 1: Setting the Stage for Optimization
Unit 2: The Core Idea of Gradient Descent
Unit 3: Gradient Descent in Action
Unit 4: Beyond Basic Gradient Descent
Unit 1: Measures of Central Tendency
Unit 2: Measures of Spread
Unit 3: Data Distribution and Interpretation
Unit 1: Foundations of Probability
Unit 2: Combining Probabilities
Unit 3: Conditional Probability and Bayes' Theorem
Unit 1: Discrete Probability Distributions
Unit 2: Continuous Probability Distributions
Unit 3: Distributions in AI/ML