Download STAT 479: Machine Learning Lecture Notes: Sebastian Raschka Department of Statistics University of Wisconsin-Madison PDF Free - Full Version
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About STAT 479: Machine Learning Lecture Notes: Sebastian Raschka Department of Statistics University of Wisconsin-Madison
This document contains lecture notes on k-nearest neighbor (kNN) machine learning algorithms. It introduces kNN classification and regression, discussing how they work by finding the k closest training examples to make predictions. It also covers related topics like the curse of dimensionality, computational complexity, distance measures, and ways to improve kNN performance and efficiency. The notes are for a machine learning course at the University of Wisconsin-Madison taught by Sebastian Raschka in fall 2018.
Detailed Information
| Author: | ['Trần Quang Thìn'] |
|---|---|
| Publication Year: | 2021 |
| Pages: | 23 |
| Language: | English |
| Format: | |
| Price: | FREE |
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