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About Course Information Machine Learning and Data Mining - CSC411/2515 Fall 2018
This document provides information about the CSC411/2515 Fall 2018 Machine Learning and Data Mining course at the University of Toronto. The course introduces commonly used machine learning algorithms and foundational principles. It covers supervised learning methods like nearest neighbors, decision trees, and neural networks. It also covers unsupervised learning like probabilistic models and K-means clustering. The course concludes with reinforcement learning. Students are evaluated based on homework assignments, a midterm, reading papers, and a final exam. The teaching team and their contact information is also listed.
Detailed Information
| Author: | ['stepper11111'] |
|---|---|
| Publication Year: | 2019 |
| Pages: | 6 |
| Language: | English |
| Format: | |
| Price: | FREE |
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