Thoughtful machine learning with Python : a test-driven approach /
Call Number: | Libro Electrónico |
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Main Author: | |
Format: | Electronic eBook |
Language: | Inglés |
Published: |
Sebastopol, CA :
O'Reilly Media,
[2017]
|
Edition: | First edition. |
Subjects: | |
Online Access: | Texto completo (Requiere registro previo con correo institucional) |
Table of Contents:
- Probably approximately correct software
- A quick introduction to machine learning
- K-nearest neighbors
- Naive Bayesian classification
- Decision trees and random forests
- Hidden Markov models
- Support vector machines
- Neural networks
- Clustering
- Improving models and data extraction
- Putting it together: conclusion.