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About Cours - Machine Learning
This document discusses machine learning and deep learning techniques. It provides examples of applications such as face recognition, character recognition, and medical diagnosis. It explains the machine learning framework where a prediction function is applied to image features to classify images into categories. Training involves estimating the prediction function to minimize errors on labeled examples, while testing applies the function to unlabeled examples. Feature extraction and different classifier models like k-nearest neighbor and neural networks are discussed. Deep learning can process diverse data with less preprocessing but requires more data and computation than traditional machine learning.
Detailed Information
| Author: | ['INTTIC'] |
|---|---|
| Publication Year: | 2023 |
| Pages: | 20 |
| Language: | English |
| Format: | |
| Price: | FREE |
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