Download MachineLearning Lecture02 PDF PDF Free - Full Version
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About MachineLearning Lecture02 PDF
The instructor introduces the topic of linear regression and supervised learning algorithms. As an example, he discusses a housing price dataset containing house sizes and prices. He defines some key notation - M is the number of training examples, X is the input features (house size), Y is the output or target (price), and (Xi, Yi) denotes the ith training example. The goal is to use a learning algorithm and training set to learn a hypothesis function H that can accurately predict prices for new houses based on their size.
Detailed Information
| Author: | ['Sethu S'] |
|---|---|
| Publication Year: | 2013 |
| Pages: | 18 |
| Language: | English |
| Format: | |
| Price: | FREE |
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