Lecture 17 Exterior Forms on R Math Cornell

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our last lecture um so this lecture is going to be a little bit more high level again it will not focus on any particular generative modeling family it will cover a special Topic in generative modeling which I call probalistic reasoning so just to set some context we saw in the first part of the course various types of generative modeling families that each can solve various sub sets of these three tasks which include generation density estimation and unsupervised representation learning so the models that we saw were tools for solving these very specific tasks and use cases in this lecture I want to in a sense step back and and show you how these tools that we have learned in the class can be used for solving various types of broader modeling problems in machine learning and how they can be instances of what I call probalistic reasoning which is a way of thinking about machine learning and a way of approaching machine learning problems okay so in other words I want to show you how the