Machine Learning EXPLAINED: Understand How Machines Learn

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In this video I talk talk about the nature of machine learning using approachable examples. The idea is for you to walk away with an intuitive understanding of how we train machine learning models. I talk about 3 algorithms: Naive Bayes, Linear Regression, and Deep Neural Networks and discuss the biases they all bring to the table.

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Any tips on how to get a dog to sit still long enough for me to measure the error in my toss?

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