Download STAT 451: Machine Learning Lecture Notes: Sebastian Raschka Department of Statistics University of Wisconsin-Madison PDF Free - Full Version
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About STAT 451: Machine Learning Lecture Notes: Sebastian Raschka Department of Statistics University of Wisconsin-Madison
This document contains lecture notes on decision trees from a machine learning course. It introduces decision trees, including key terminology like root nodes, internal nodes, and leaf nodes. It also categorizes decision trees as a supervised, greedy, eager, batch, nonparametric, and deterministic machine learning algorithm. Additionally, it discusses the relationship between decision trees and rule-based learning, noting that each leaf node in a decision tree represents a rule and that decision trees can represent rule sets but not necessarily vice versa.
Detailed Information
| Author: | ['Ratneswar Saikia'] |
|---|---|
| Publication Year: | 2021 |
| Pages: | 18 |
| Language: | English |
| Format: | |
| Price: | FREE |
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