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About Applied Machine Learning
This document provides an introduction and overview of a lecture on applied machine learning. It includes: 1) Biographical information about the lecturer including their research areas which are applied machine learning, system/application measurement and modeling, and cybersecurity. 2) An outline of the course covering topics like linear regression, Bayes classification, neural networks, and dimensionality reduction. 3) An overview of the first week covering an introduction to machine learning, the different types of machine learning (supervised, unsupervised, reinforcement), and machine learning applications.
Detailed Information
| Author: | ['Wanida Kratae'] |
|---|---|
| Publication Year: | 2021 |
| Pages: | 49 |
| Language: | English |
| Format: | |
| Price: | FREE |
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