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Machine Learning for Signal Processing - Data Compression and Denoising

Data Science Dojo via YouTube

Overview

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This course explores using machine learning for signal processing, focusing on data compression and noise removal with Principal Component Analysis. It introduces the linear algebra behind PCA and considers its limitations and other techniques.

Syllabus

– Introduction
– Data extraction
– Signal processing
– How PCA works
– Linear algebra
– Clustering analysis
– When PCA doesnt work
– Other techniques
– Deep learning
– QnA

Taught by

Data Science Dojo

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