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Python and ML proficiency
·
Module 7
Calculus for Machine Learning
1
Derivatives of Single-Variable Functions
Compute derivatives of single-variable functions
2
Calculating Partial Derivatives
Calculate partial derivatives of multivariable functions
3
Chain Rule for Composite Functions
Apply the chain rule for composite functions
4
Gradients of Vector-Valued Functions
Compute gradients of vector-valued functions
5
Gradient Descent: Iteration and Learning Rate
Describe the iterative process of gradient descent and explain the role of the learning rate
6
Implementing Gradient Descent in Python
Implement basic gradient descent in Python
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Linear Algebra Foundations
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Probability and Statistics Essentials