Course curriculum

  • 1

    Unsupervised Machine Learning via FluCoMa In Max

    • 1. Introduction

    • 2. Supervised vs Unsupervised Learning in Machine Learning

    • 3. Principle Component Analysis for Dimensionality Reduction in Sound Analysis

    • 4. Understanding the Uniform Manifold Approximation and Projection Algorithm

    • 5. The Importance of Scaling in Data Analysis

    • 6. Exploring KMeans Clustering in Audio Analysis

    • 7. Understanding the Jonker-Volgenant Algorithm (aka Grid)

    • 8. Exploring One-Dimensional Sound Organization with UMAP and MFCC Analysis

    • 9. Questions

    • Patches and Slides