Download LECTURE SET 07 - Machine Learning For Artificial Intelligence PDF Free - Full Version
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About LECTURE SET 07 - Machine Learning For Artificial Intelligence
This document provides an outline for a chapter on machine learning from examples. It discusses different types of learning problems and algorithms, including supervised learning techniques like nearest neighbor, neural networks, decision trees, naive Bayes, and boosting. Unsupervised learning like k-means clustering is also mentioned. The document uses examples to explain the difference between memorization and learning, and defines machine learning as building machines that can learn from experience to generalize to new examples. It discusses applications of machine learning in areas like medical diagnosis, fraud detection, and autonomous vehicles.
Detailed Information
| Author: | ['Suleman Mustafa'] |
|---|---|
| Publication Year: | 2021 |
| Pages: | 48 |
| Language: | English |
| Format: | |
| Price: | FREE |
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