Week 10: Partial Derivatives Topics: Multivariable calculus, gradients for ML cost functions
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Week 8: Functions and Limits
Topics: Continuous functions, limits, and their significance in ML
Week 9: Derivatives – Slope and Gradient
Topics: Rules of differentiation, gradients, and slope interpretation
Week 10: Partial Derivatives
Topics: Multivariable calculus, gradients for ML cost functions
Week 11: Optimization – Gradient Descent
Topics: How ML algorithms optimize functions
Week 12: Integrals and Areas
Topics: Integration and its applications in ML
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