The fields of Digital Signal Processing and Machine Learning (ML) share many common math and technology building blocks. CTO Ian Hamilton leverages analogy and commonalities between these two disciplines to demystify some of the basic principles underlying how machines learn.
With a basic understanding of how machines learn, it is much easier to understand what problems in M&E are best addressed with ML and why. The presentation concludes with examples of how Machine Learning is applied at Signiant.
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