Mastering Azure Machine Learning: Perform Large-Scale End-to-end Advanced Machine Learning on the Cloud with Microsoft Azure ML.
This book will help you learn how to build a scalable end-to-end machine learning pipeline in Azure from experimentation and training to optimization and deployment. By the end of this book, you will learn to build complex distributed systems and scalable cloud infrastructure using powerful machine...
Gespeichert in:
1. Verfasser: | |
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Birmingham :
Packt Publishing, Limited,
2020.
|
Schlagworte: | |
Online-Zugang: | Volltext |
Zusammenfassung: | This book will help you learn how to build a scalable end-to-end machine learning pipeline in Azure from experimentation and training to optimization and deployment. By the end of this book, you will learn to build complex distributed systems and scalable cloud infrastructure using powerful machine learning algorithms to compute insights. |
Beschreibung: | Description based upon print version of record. |
Beschreibung: | 1 online resource (378 p.) |
ISBN: | 1789801524 9781789801521 |
Internformat
MARC
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245 | 1 | 0 | |a Mastering Azure Machine Learning |h [electronic resource] : |b Perform Large-Scale End-to-end Advanced Machine Learning on the Cloud with Microsoft Azure ML. |
260 | |a Birmingham : |b Packt Publishing, Limited, |c 2020. | ||
300 | |a 1 online resource (378 p.) | ||
500 | |a Description based upon print version of record. | ||
520 | |a This book will help you learn how to build a scalable end-to-end machine learning pipeline in Azure from experimentation and training to optimization and deployment. By the end of this book, you will learn to build complex distributed systems and scalable cloud infrastructure using powerful machine learning algorithms to compute insights. | ||
505 | 0 | |a Table of ContentsBuilding an End-to-end Machine Learning PipelineChoosing a Machine Learning Service in AzureData Experimentation and Visualization using AzureETL, Data Preparation and Feature ExtractionAdvanced Feature Extraction with NLPBuilding ML Models using Azure Machine LearningTraining Deep Neural Networks on AzureHyperparameter Tuning and Automated Machine LearningDistributed Machine Learning on Azure ML ClustersBuilding a Recommendation Engine in AzureDeploying and Operating Machine Learning ModelsMLOps - DevOps for Machine LearningWhat's next?. | |
650 | 0 | |a Machine learning. |0 http://id.loc.gov/authorities/subjects/sh85079324 | |
650 | 0 | |a Cloud computing. |0 http://id.loc.gov/authorities/subjects/sh2008004883 | |
650 | 0 | |a Microsoft Azure (Computing platform) |0 http://id.loc.gov/authorities/subjects/sh2016001752 | |
650 | 6 | |a Apprentissage automatique. | |
650 | 6 | |a Infonuagique. | |
650 | 6 | |a Microsoft Azure (Plateforme informatique) | |
650 | 7 | |a Data capture & analysis. |2 bicssc | |
650 | 7 | |a Data mining. |2 bicssc | |
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700 | 1 | |a Waaijer, Kaijisse. | |
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776 | 0 | 8 | |i Print version: |a Körner, Christoph |t Mastering Azure Machine Learning : Perform Large-Scale End-to-end Advanced Machine Learning on the Cloud with Microsoft Azure ML |d Birmingham : Packt Publishing, Limited,c2020 |
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Datensatz im Suchindex
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adam_text | |
any_adam_object | |
author | Korner, Christoph |
author2 | Waaijer, Kaijisse |
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author_GND | http://id.loc.gov/authorities/names/n2019023175 |
author_facet | Korner, Christoph Waaijer, Kaijisse |
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contents | Table of ContentsBuilding an End-to-end Machine Learning PipelineChoosing a Machine Learning Service in AzureData Experimentation and Visualization using AzureETL, Data Preparation and Feature ExtractionAdvanced Feature Extraction with NLPBuilding ML Models using Azure Machine LearningTraining Deep Neural Networks on AzureHyperparameter Tuning and Automated Machine LearningDistributed Machine Learning on Azure ML ClustersBuilding a Recommendation Engine in AzureDeploying and Operating Machine Learning ModelsMLOps - DevOps for Machine LearningWhat's next?. |
ctrlnum | (OCoLC)1153835919 |
dewey-full | 006.3/1 |
dewey-hundreds | 000 - Computer science, information, general works |
dewey-ones | 006 - Special computer methods |
dewey-raw | 006.3/1 |
dewey-search | 006.3/1 |
dewey-sort | 16.3 11 |
dewey-tens | 000 - Computer science, information, general works |
discipline | Informatik |
format | Electronic eBook |
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spelling | Korner, Christoph. http://id.loc.gov/authorities/names/n2019023175 Mastering Azure Machine Learning [electronic resource] : Perform Large-Scale End-to-end Advanced Machine Learning on the Cloud with Microsoft Azure ML. Birmingham : Packt Publishing, Limited, 2020. 1 online resource (378 p.) Description based upon print version of record. This book will help you learn how to build a scalable end-to-end machine learning pipeline in Azure from experimentation and training to optimization and deployment. By the end of this book, you will learn to build complex distributed systems and scalable cloud infrastructure using powerful machine learning algorithms to compute insights. Table of ContentsBuilding an End-to-end Machine Learning PipelineChoosing a Machine Learning Service in AzureData Experimentation and Visualization using AzureETL, Data Preparation and Feature ExtractionAdvanced Feature Extraction with NLPBuilding ML Models using Azure Machine LearningTraining Deep Neural Networks on AzureHyperparameter Tuning and Automated Machine LearningDistributed Machine Learning on Azure ML ClustersBuilding a Recommendation Engine in AzureDeploying and Operating Machine Learning ModelsMLOps - DevOps for Machine LearningWhat's next?. Machine learning. http://id.loc.gov/authorities/subjects/sh85079324 Cloud computing. http://id.loc.gov/authorities/subjects/sh2008004883 Microsoft Azure (Computing platform) http://id.loc.gov/authorities/subjects/sh2016001752 Apprentissage automatique. Infonuagique. Microsoft Azure (Plateforme informatique) Data capture & analysis. bicssc Data mining. bicssc Information technology: general issues. bicssc Computers Data Processing. bisacsh Computers Database Management Data Mining. bisacsh Computers Information Technology. bisacsh Cloud computing fast Machine learning fast Microsoft Azure (Computing platform) fast Waaijer, Kaijisse. has work: Mastering Azure Machine Learning (Text) https://id.oclc.org/worldcat/entity/E39PCGGWdppCQG6WwyQjCR6qPP https://id.oclc.org/worldcat/ontology/hasWork Print version: Körner, Christoph Mastering Azure Machine Learning : Perform Large-Scale End-to-end Advanced Machine Learning on the Cloud with Microsoft Azure ML Birmingham : Packt Publishing, Limited,c2020 FWS01 ZDB-4-EBA FWS_PDA_EBA https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=2463662 Volltext |
spellingShingle | Korner, Christoph Mastering Azure Machine Learning Perform Large-Scale End-to-end Advanced Machine Learning on the Cloud with Microsoft Azure ML. Table of ContentsBuilding an End-to-end Machine Learning PipelineChoosing a Machine Learning Service in AzureData Experimentation and Visualization using AzureETL, Data Preparation and Feature ExtractionAdvanced Feature Extraction with NLPBuilding ML Models using Azure Machine LearningTraining Deep Neural Networks on AzureHyperparameter Tuning and Automated Machine LearningDistributed Machine Learning on Azure ML ClustersBuilding a Recommendation Engine in AzureDeploying and Operating Machine Learning ModelsMLOps - DevOps for Machine LearningWhat's next?. Machine learning. http://id.loc.gov/authorities/subjects/sh85079324 Cloud computing. http://id.loc.gov/authorities/subjects/sh2008004883 Microsoft Azure (Computing platform) http://id.loc.gov/authorities/subjects/sh2016001752 Apprentissage automatique. Infonuagique. Microsoft Azure (Plateforme informatique) Data capture & analysis. bicssc Data mining. bicssc Information technology: general issues. bicssc Computers Data Processing. bisacsh Computers Database Management Data Mining. bisacsh Computers Information Technology. bisacsh Cloud computing fast Machine learning fast Microsoft Azure (Computing platform) fast |
subject_GND | http://id.loc.gov/authorities/subjects/sh85079324 http://id.loc.gov/authorities/subjects/sh2008004883 http://id.loc.gov/authorities/subjects/sh2016001752 |
title | Mastering Azure Machine Learning Perform Large-Scale End-to-end Advanced Machine Learning on the Cloud with Microsoft Azure ML. |
title_auth | Mastering Azure Machine Learning Perform Large-Scale End-to-end Advanced Machine Learning on the Cloud with Microsoft Azure ML. |
title_exact_search | Mastering Azure Machine Learning Perform Large-Scale End-to-end Advanced Machine Learning on the Cloud with Microsoft Azure ML. |
title_full | Mastering Azure Machine Learning [electronic resource] : Perform Large-Scale End-to-end Advanced Machine Learning on the Cloud with Microsoft Azure ML. |
title_fullStr | Mastering Azure Machine Learning [electronic resource] : Perform Large-Scale End-to-end Advanced Machine Learning on the Cloud with Microsoft Azure ML. |
title_full_unstemmed | Mastering Azure Machine Learning [electronic resource] : Perform Large-Scale End-to-end Advanced Machine Learning on the Cloud with Microsoft Azure ML. |
title_short | Mastering Azure Machine Learning |
title_sort | mastering azure machine learning perform large scale end to end advanced machine learning on the cloud with microsoft azure ml |
title_sub | Perform Large-Scale End-to-end Advanced Machine Learning on the Cloud with Microsoft Azure ML. |
topic | Machine learning. http://id.loc.gov/authorities/subjects/sh85079324 Cloud computing. http://id.loc.gov/authorities/subjects/sh2008004883 Microsoft Azure (Computing platform) http://id.loc.gov/authorities/subjects/sh2016001752 Apprentissage automatique. Infonuagique. Microsoft Azure (Plateforme informatique) Data capture & analysis. bicssc Data mining. bicssc Information technology: general issues. bicssc Computers Data Processing. bisacsh Computers Database Management Data Mining. bisacsh Computers Information Technology. bisacsh Cloud computing fast Machine learning fast Microsoft Azure (Computing platform) fast |
topic_facet | Machine learning. Cloud computing. Microsoft Azure (Computing platform) Apprentissage automatique. Infonuagique. Microsoft Azure (Plateforme informatique) Data capture & analysis. Data mining. Information technology: general issues. Computers Data Processing. Computers Database Management Data Mining. Computers Information Technology. Cloud computing Machine learning |
url | https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=2463662 |
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