Overview
Syllabus
- Session Overview
- Role of Mathematics in AI
- The Importance of Mathematics in AI Models
- Linear Algebra: Patterns into Matrices
- Calculus: Optimizing Models for Accuracy
- Plotting Data and Identifying Patterns
- Slope and Intercept of a Line
- Gradients and Their Role in AI
- Calculating Derivatives for Curved Lines
- Gradient Descent: Minimizing Cost Functions
- Vectors and Their Role in AI
- Matrices: Representing Data in AI
- Transforming Text into Numerical Representations
- Word Embeddings and Semantic Relationships
- Applications and Tools
Taught by
Data Science Dojo