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About Lecture 1
This document provides an overview of the Neural Networks and Learning Systems course. The course will cover supervised, unsupervised, and reinforcement learning techniques through lectures and assignments. Students will complete assignments in MATLAB applying concepts like neural networks, clustering, and boosting. Evaluation will involve exams and assignments. The document outlines the course structure, prerequisites, and applications of machine learning. It also introduces key concepts like features, supervised learning, and evaluating classifier performance using techniques like cross-validation.
Detailed Information
| Author: | ['nikola001'] |
|---|---|
| Publication Year: | 2013 |
| Pages: | 36 |
| Language: | English |
| Format: | |
| Price: | FREE |
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