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Chapter 1 Machine Learning Overview

Machine learning can be thought of as a set of tools and methods that attempt to infer patterns and extract insight from observations made of the physical world. For example, if you wanted to predict the price of a house based on the number of rooms, number of bathrooms, square footage, and lot size, you can use a simple machine learning algorithm (e.g. linear regression) to learn from an existing real estate sales data set where the price of each house is known, and then based on what you’ve learned, you can predict the price of other houses where the price is unknown. In practice, this sort ...

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