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About CS3491 ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING 01 - by WWW - LearnEngineering.in
This document provides information about an artificial intelligence and machine learning course. The course objectives are to study uninformed and heuristic search techniques, reasoning under uncertainty, machine learning algorithms like supervised learning and ensembling, and deep learning using neural networks. The course covers topics like problem solving, probabilistic reasoning, supervised learning, ensemble techniques, unsupervised learning, and neural networks. Practical exercises include implementing search algorithms, Bayesian models, regression models, decision trees, SVMs, ensembling techniques, clustering algorithms, and neural networks. The course aims to help students apply appropriate search algorithms, reasoning under uncertainty, build supervised and unsupervised learning models, and deep learning neural network models.
Detailed Information
| Author: | ['Saravanan Sujatha'] |
|---|---|
| Publication Year: | 2024 |
| Pages: | 23 |
| Language: | English |
| Format: | |
| Price: | FREE |
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