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1.2.13. Week 13 - 11/17¶

Reading:

    1. Principal Component Analysis (PCA)

  • 11.1. Optimization

  • 11.2. Data Interpolation

  • 11.3. Numerical Differentiation

  • 11.4. Numerical Integration

Video Lectures:

  • Section 10.2 PCA Data Clustering of Food - 2024 (10:01)

  • Section 10.3 - PCA for Recognition - 2024 (6:44)

  • Introduction to Numerical Methods (1:49)

  • Section 11.1 - Numerical Optimization (25:23)

  • Section 11.2 - Data Interpolation - 2024 (5:54)

  • Section 11.3 - Numerical Derivatives - 2024 (9:52)

  • Section 11.4 - Numerical Integration - 2024 (22:09)

Annotated notes:

  • Singular Value Decomposition - notes/SVD.pdf

  • Principal Component Analysis - notes/PCA.pdf

  • PCA Data - notes/PCA_data.pdf

Assignments:

  • PCA Data Classification

  • Video: PCA Homework assignment (9:57)

  • Attendance Quizzes: AQ09_1, Week 13 Attendance Quiz Hints

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