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Machine learning for signal processing

Sara Malvar

Sara Malvar

Sr. Research Software Development Engineer at Microsoft

In this tutorial, we will understand how to use machine learning tools for signal processing. In particular: data compression and noise removal. To do so, we will discuss Principal Component Analysis (PCA) and explore how linear algebra can be used for these and other applications.

What you'll learn
  • How does PCA work
  • When PCA doesn't work
  • Few other machine learning techniques

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