AI class unit 5

These are my notes for unit 5 of the AI class.

Machine Learning

Introduction

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Welcome to the machine learning unit. Machine learning is a fascinating area. The world has become immeasurably data-rich. The world wide web has come up over the last decade. The human genome is being sequenced. Vast chemical databases, pharmaceutical databases, and financial databases are now available on a scale unthinkable even five years ago. To make sense out of the data, to extract information from the data, machine learning is the discipline to go.

Machine learning is an important sub-field of artificial intelligence, it's my personal favourite next to robotics because I believe it has a huge impact on society and is absolutely necessary as we move forward.

So in this class, I teach you some of the very basics of machine learning, and in our next unit Peter will tell you some more about machine learning. We'll talk about supervised learning, which is one side of machine learning, and Peter will tell you about unsupervised learning, which is a different style. Later in this class we will also encounter reinforcement learning, which is yet another style of machine learning. Anyhow, let's just dive in.

What is Machine Learning?

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Welcome to the first class on machine learning. So far we talked a lot about Bayes Networks. And the way we talked about them is all about reasoning within Bayes Networks that are known. Machine learning addresses the problem of how to find those networks or other models based on data. Learning models from data is a major, major area of artificial intelligence and it's perhaps the one that had the most commercial success. In many commercial applications