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About Introduction To Machine Learning: Pekka Parviainen
This document provides an introduction and agenda for a machine learning lecture. The key points are: - The lecture will cover the basic concepts of machine learning and how to apply, implement, and evaluate machine learning algorithms. - The goals are for students to understand machine learning approaches, develop and apply algorithms to real data, and have an overview of machine learning uses. - Topics will include supervised learning, unsupervised learning, reinforcement learning, and modeling techniques like linear models, decision trees, and neural networks. - The agenda outlines lectures, exercises, projects, exams, and prerequisites to help students learn machine learning.
Detailed Information
| Author: | ['Val'] |
|---|---|
| Publication Year: | 2021 |
| Pages: | 39 |
| Language: | English |
| Format: | |
| Price: | FREE |
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