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.
Gespeichert in:
| Weitere Verfasser: | , , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
New York :
Cambridge University Press,
[2012]
|
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Zusammenfassung: | This integrated collection covers a range of parallelization platforms, concurrent programming frameworks and machine learning settings, with case studies. |
| Beschreibung: | 1 online resource (xvi, 475 pages) : illustrations |
| Bibliographie: | Includes bibliographical references and index. |
| ISBN: | 9781139042918 1139042912 9781139216937 1139216937 |
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| 264 | 4 | |c ©2012 | |
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| 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. | |
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| 650 | 0 | |a Parallel algorithms. |0 http://id.loc.gov/authorities/subjects/sh98003394 | |
| 650 | 0 | |a Parallel programs (Computer programs) |0 http://id.loc.gov/authorities/subjects/sh2006001441 | |
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| 650 | 6 | |a Apprentissage automatique. | |
| 650 | 6 | |a Exploration de données (Informatique) | |
| 650 | 6 | |a Algorithmes parallèles. | |
| 650 | 6 | |a Programmes parallèles (Logiciels) | |
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| 650 | 7 | |a Machine learning |2 fast | |
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| contents | 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. |
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| spelling | Scaling up machine learning : parallel and distributed approaches / edited by Ron Bekkerman, Mikhail Bilenko, John Langford. New York : Cambridge University Press, [2012] ©2012 1 online resource (xvi, 475 pages) : illustrations text txt rdacontent computer c rdamedia online resource cr rdacarrier Includes bibliographical references and index. This integrated collection covers a range of parallelization platforms, concurrent programming frameworks and machine learning settings, with case studies. Print version record. 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. Machine learning. http://id.loc.gov/authorities/subjects/sh85079324 Data mining. http://id.loc.gov/authorities/subjects/sh97002073 Parallel algorithms. http://id.loc.gov/authorities/subjects/sh98003394 Parallel programs (Computer programs) http://id.loc.gov/authorities/subjects/sh2006001441 Data Mining https://id.nlm.nih.gov/mesh/D057225 Machine Learning https://id.nlm.nih.gov/mesh/D000069550 Apprentissage automatique. Exploration de données (Informatique) Algorithmes parallèles. Programmes parallèles (Logiciels) Data mining fast Machine learning fast Parallel algorithms fast Parallel programs (Computer programs) fast Bekkerman, Ron, editor. http://id.loc.gov/authorities/names/n2011027553 Bilenko, Mikhail, 1978- editor. https://id.oclc.org/worldcat/entity/E39PCjM4VqK3gRybmkG9jKWJjC http://id.loc.gov/authorities/names/n2011027554 Langford, John, 1975- editor. https://id.oclc.org/worldcat/entity/E39PCjMGYtJMCX8J6WJwcxQtqP http://id.loc.gov/authorities/names/n2011027647 has work: Scaling up machine learning (Text) https://id.oclc.org/worldcat/entity/E39PCFXcmDYXwTYYQQqC3c9cmq https://id.oclc.org/worldcat/ontology/hasWork Print version: Scaling up machine learning. New York : Cambridge University Press, 2012 9780521192248 (DLC) 2011016323 (OCoLC)728102114 FWS01 ZDB-4-EBA FWS_PDA_EBA https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=416666 Volltext |
| spellingShingle | Scaling up machine learning : parallel and distributed approaches / 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. Machine learning. http://id.loc.gov/authorities/subjects/sh85079324 Data mining. http://id.loc.gov/authorities/subjects/sh97002073 Parallel algorithms. http://id.loc.gov/authorities/subjects/sh98003394 Parallel programs (Computer programs) http://id.loc.gov/authorities/subjects/sh2006001441 Data Mining https://id.nlm.nih.gov/mesh/D057225 Machine Learning https://id.nlm.nih.gov/mesh/D000069550 Apprentissage automatique. Exploration de données (Informatique) Algorithmes parallèles. Programmes parallèles (Logiciels) Data mining fast Machine learning fast Parallel algorithms fast Parallel programs (Computer programs) fast |
| subject_GND | http://id.loc.gov/authorities/subjects/sh85079324 http://id.loc.gov/authorities/subjects/sh97002073 http://id.loc.gov/authorities/subjects/sh98003394 http://id.loc.gov/authorities/subjects/sh2006001441 https://id.nlm.nih.gov/mesh/D057225 https://id.nlm.nih.gov/mesh/D000069550 |
| title | Scaling up machine learning : parallel and distributed approaches / |
| title_auth | Scaling up machine learning : parallel and distributed approaches / |
| title_exact_search | Scaling up machine learning : parallel and distributed approaches / |
| title_full | Scaling up machine learning : parallel and distributed approaches / edited by Ron Bekkerman, Mikhail Bilenko, John Langford. |
| title_fullStr | Scaling up machine learning : parallel and distributed approaches / edited by Ron Bekkerman, Mikhail Bilenko, John Langford. |
| title_full_unstemmed | Scaling up machine learning : parallel and distributed approaches / edited by Ron Bekkerman, Mikhail Bilenko, John Langford. |
| title_short | Scaling up machine learning : |
| title_sort | scaling up machine learning parallel and distributed approaches |
| title_sub | parallel and distributed approaches / |
| topic | Machine learning. http://id.loc.gov/authorities/subjects/sh85079324 Data mining. http://id.loc.gov/authorities/subjects/sh97002073 Parallel algorithms. http://id.loc.gov/authorities/subjects/sh98003394 Parallel programs (Computer programs) http://id.loc.gov/authorities/subjects/sh2006001441 Data Mining https://id.nlm.nih.gov/mesh/D057225 Machine Learning https://id.nlm.nih.gov/mesh/D000069550 Apprentissage automatique. Exploration de données (Informatique) Algorithmes parallèles. Programmes parallèles (Logiciels) Data mining fast Machine learning fast Parallel algorithms fast Parallel programs (Computer programs) fast |
| topic_facet | Machine learning. Data mining. Parallel algorithms. Parallel programs (Computer programs) Data Mining Machine Learning Apprentissage automatique. Exploration de données (Informatique) Algorithmes parallèles. Programmes parallèles (Logiciels) Data mining Machine learning Parallel algorithms |
| url | https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=416666 |
| work_keys_str_mv | AT bekkermanron scalingupmachinelearningparallelanddistributedapproaches AT bilenkomikhail scalingupmachinelearningparallelanddistributedapproaches AT langfordjohn scalingupmachinelearningparallelanddistributedapproaches |