OverviewMachine learning is a powerful set of techniques that allow computers to learn from data rather than having a human expert program a behavior by hand. Neural networks are a class of machine learning algorithm originally inspired by the brain, but which have recently have seen a lot of success at practical applications. They re at the heart of production systems at companies like Google and Facebook for face recognition, speech-to-text, and language understanding.This course gives an overview of both the foundational ideas and the recent advances in neural net algorithms. Roughly the first 2/3 of the course focuses on supervised learning training the network to produce a specified behavior when one has lots of labeled examples of that behavior. The last 1/3 focuses on unsupervised learning and reinforcement learning.Policies (marking, prerequisites, etc.)See the course information handout.Where and WhenThere are two sections of the course. Since both sections are fully subscribed, please attend the one you are registered for.

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