Advanced machine learning with R trackle data analytics and machine learning challenges and build complex applications with R 3.5
| Other Authors: | , |
|---|---|
| Format: | Book |
| Language: | Inglés |
| Published: |
Birmingham, England :
Packt Publishing
2019
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| Edition: | 1st edition |
| Series: | Learning Path
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| Subjects: | |
| See on Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009606429006719 |
Table of Contents:
- Introducing machine learning
- Managing and understanding data
- Lazy learning : classification using nearest neighbors
- Probabilistic learning : classification using naive Bayes
- Divide and conquer : classification using decision trees and rules
- Forecasting numeric data : regression methods
- Black box methods : neural networks and support vector machines
- Finding patterns : market basket analysis using association rules
- Finding groups of data : clustering with k-means
- Evaluating model performance
- Improving model performance
- Specialized machine learning topics.
