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Scaling up machine learning : parallel and distributed approaches /
This integrated collection covers a range of parallelization platforms, concurrent programming frameworks and machine learning settings, with case studies.
| Clasificación: | Libro Electrónico |
|---|---|
| Otros Autores: | , , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
New York :
Cambridge University Press,
[2012]
|
| Temas: | |
| Acceso en línea: | Texto completo |
MARC
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| 245 | 0 | 0 | |a Scaling up machine learning : |b parallel and distributed approaches / |c edited by Ron Bekkerman, Mikhail Bilenko, John Langford. |
| 264 | 1 | |a New York : |b Cambridge University Press, |c [2012] | |
| 264 | 4 | |c ©2012 | |
| 300 | |a 1 online resource (xvi, 475 pages) : |b illustrations | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 504 | |a Includes bibliographical references and index. | ||
| 520 | |a This integrated collection covers a range of parallelization platforms, concurrent programming frameworks and machine learning settings, with case studies. | ||
| 588 | 0 | |a Print version record. | |
| 505 | 0 | |a Cover; Scaling Up Machine Learning; Title; Copyright; Contents; Contributors; Preface; CHAPTER 1 Scaling Up Machine Learning: Introduction; 1.1 Machine Learning Basics; 1.2 Reasons for Scaling Up Machine Learning; 1.2.1 Large Number of Data Instances; 1.2.2 High Input Dimensionality; 1.2.3 Model and Algorithm Complexity; 1.2.4 Inference Time Constraints; 1.2.5 Prediction Cascades; 1.2.6 Model Selection and Parameter Sweeps; 1.3 Key Concepts in Parallel and Distributed Computing; 1.3.1 Data Parallelism; 1.3.2 Task Parallelism; 1.4 Platform Choices and Trade-Offs; 1.5 Thinking about Performance. | |
| 590 | |a eBooks on EBSCOhost |b EBSCO eBook Subscription Academic Collection - Worldwide | ||
| 650 | 0 | |a Machine learning. | |
| 650 | 0 | |a Data mining. | |
| 650 | 0 | |a Parallel algorithms. | |
| 650 | 0 | |a Parallel programs (Computer programs) | |
| 650 | 2 | |a Data Mining | |
| 650 | 6 | |a Apprentissage automatique. | |
| 650 | 6 | |a Exploration de données (Informatique) | |
| 650 | 6 | |a Algorithmes parallèles. | |
| 650 | 6 | |a Programmes parallèles (Logiciels) | |
| 650 | 7 | |a Data mining. |2 fast |0 (OCoLC)fst00887946 | |
| 650 | 7 | |a Machine learning. |2 fast |0 (OCoLC)fst01004795 | |
| 650 | 7 | |a Parallel algorithms. |2 fast |0 (OCoLC)fst01052920 | |
| 650 | 7 | |a Parallel programs (Computer programs) |2 fast |0 (OCoLC)fst01739729 | |
| 700 | 1 | |a Bekkerman, Ron, |e editor. | |
| 700 | 1 | |a Bilenko, Mikhail, |d 1978- |e editor. | |
| 700 | 1 | |a Langford, John, |d 1975- |e editor. | |
| 776 | 0 | 8 | |i Print version: |t Scaling up machine learning. |d New York : Cambridge University Press, 2012 |z 9780521192248 |w (DLC) 2011016323 |w (OCoLC)728102114 |
| 856 | 4 | 0 | |u https://ebsco.uam.elogim.com/login.aspx?direct=true&scope=site&db=nlebk&AN=416666 |z Texto completo |
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