1
Linear Algebra Basics
Vectors, Matrices, and Linear Transformations.
Learning Outcomes:
• Perform matrix multiplication
• Understand Geometric interpretation of vectors
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2
Calculus & Derivatives
Introduction to the Power Rule and Chain Rule.
Learning Outcomes:
• Calculate partial derivatives
• Understand the slope of cost functions
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3
Gradient Descent Math
The mathematical foundation of optimization.
Learning Outcomes:
• Derive the update rule for weights
• Calculate learning rate impact
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4
Probability Theory
Random variables, distributions, and expectations.
Learning Outcomes:
• Calculate Gaussian distribution parameters
• Understand Bayesian probability basics