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Practical machine learning : tackle the real-world complexities of modern machine learning with innovative and cutting-edge techniques / / Sunila Gollapudi
By: Gollapudi, Sunila
Original language: English Series: (Community experience distilled)Publisher: Birmingham, UK : Packt Publishing, 2016Description: XVI, 433 p. : il. ; 24 cmISBN: 9781784399689Other title: Tackle the real-world complexities of modern machine learning with innovative and cutting-edge techniquesSubject(s): Aprendizaje automático | Inteligencia artificial -- Informática
Contents:
1. Introduction to machine learning ;
2. Machine learning and large-scale datasets ;
3. An introduction to Hadoop's Architecture and Ecosystem ;
4. Machine learning tools, libraries and frameworks ;
5. Decision tree based learning ;
6. Instance and kernel methods based learning ;
7. Association rules based learning ;
8. Clustering based learning ;
9. Bayesian learning ;
10. Regression based learning ;
11. Deep learning ;
12. Reinforcement learning ;
13. Ensemble learning ;
14. New generation data architectures.
| Item type | Current location | Collection | Call number | Status | Date due | Barcode | Course reserves |
|---|---|---|---|---|---|---|---|
Libro
|
Biblioteca Universidad Europea del Atlántico Fondo General | No ficción | 004.85 GOL pra | Available | 3665 |
1. Introduction to machine learning ;
2. Machine learning and large-scale datasets ;
3. An introduction to Hadoop's Architecture and Ecosystem ;
4. Machine learning tools, libraries and frameworks ;
5. Decision tree based learning ;
6. Instance and kernel methods based learning ;
7. Association rules based learning ;
8. Clustering based learning ;
9. Bayesian learning ;
10. Regression based learning ;
11. Deep learning ;
12. Reinforcement learning ;
13. Ensemble learning ;
14. New generation data architectures.