SpectroMorph: Advanced Audio Machine Learning

SpectroMorph: Advanced Audio Machine Learning

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About the Project

This seven-week project offers a deep dive into machine learning (ML) with a focus on audio applications. Starting with foundational ML concepts, it progresses to audio-specific techniques like denoising, super-resolution, and style transfer. Combining theory with hands-on practice, participants will learn to tackle real-world audio challenges using ML.

Resources

Week 1

1. Multiclass Classification

•⁠ ⁠Title: Softmax & Multiclass Neural Networks
•⁠ ⁠Link: Read on Turing

2. Logistic Regression

•⁠ ⁠Title: Introduction to Logistic Regression
•⁠ ⁠Link: Read on IBM

3. Polynomial Regression

•⁠ ⁠Title: Understanding Polynomial Regression
•⁠ ⁠Link: Read on Analytics Vidhya

4. Polynomial vs. Linear Regression

•⁠ ⁠Title: Polynomial Regression vs Linear Regression
•⁠ ⁠Link: Read on Medium