Math Foundations Roadmap

Math Foundations Roadmap

Mathematics Roadmap (Section 1)

Linear Algebra (1 Week)

Core Concepts

  • Vectors & Matrix Operations
  • Eigenvalues & SVD
  • Vector Spaces

Implementation

  • Matrix inversion with NumPy
  • PCA intuition

Calculus (1 Week)

Key Topics

  • Partial Derivatives
  • Gradient Descent
  • Chain Rule

Practice

  • Implement gradient descent
  • Visualize optimization

Statistics (1-2 Weeks)

  • Distributions: Normal, Poisson
  • Hypothesis Testing
  • Bayesian Inference
  • Maximum Likelihood Estimation

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