Automated Machine Learning with Microsoft Azure : Build highly accurate and scalable end-to-end AI solutions with Azure AutoML

Automated Machine Learning with Microsoft Azure : Build highly accurate and scalable end-to-end AI solutions with Azure AutoML

Enregistré dans:

Détails bibliographiques
Auteur principal:	Sawyers, Dennis Michael. (Auteur)
Support:	E-Book
Langue:	Anglais
Publié:	[Lieu de publication inconnu] : Packt Publishing, 2021.
Autres localisations:	Voir dans le Sudoc
Accès en ligne:	Accès à l'E-book

Documents similaires

Mastering Azure Machine Learning : Perform large-scale end-to-end advanced machine learning on the cloud with Microsoft Azure ML
par: Körner, Christoph.
Publié: (2020)

Mastering Azure Machine Learning : Execute large-scale end-to-end machine learning with Azure
par: Körner, Christoph.
Publié: (2022)

Microsoft Azure machine learning
par: Mund, Sumit.
Publié: (2015)

Hands-on automated machine learning : a beginner's guide to building automated machine learning systems using AutoML and Python
par: Das, Sibanjan.
Publié: (2018)

Azure Machine Learning Engineering : Deploy, fine-tune, and optimize ML models using Microsoft Azure
par: Fakhraee, Sina.

Learn Microsoft Azure : build, manage, and scale cloud applications using the Azure ecosystem
par: Wali, Mohamed.
Publié: (2018)

Mastering Azure Serverless Computing : Design and Implement End-to-End Highly Scalable Azure Serverless Solutions with Ease
par: Mishra, Abhishek.

Learning Microsoft Azure : a comprehensive guide to cloud application development using Microsoft Azure
par: Webber-Cross, Geoff.
Publié: (2014)

Learning Microsoft Azure Storage
par: Waly, Mohamed.
Publié: (2017)

Fun with Machine Learning : Simplify the Data Science process by automating repetitive and complex tasks using AutoML
par: Liborious, Arockia.

Machine Learning Security with Azure : Best practices for assessing, securing, and monitoring Azure Machine Learning workloads
par: Kalyva, Georgia.

Microsoft Azure AI: A Beginner's Guide : Explore Azure Applied AI Services, Azure Cognitive Services and Azure Machine Learning with Practical Illustrations
par: Kodali, Rekha.

Hands-on machine learning with Azure : build powerful models with cognitive machine learning and artificial intelligence
Publié: (2018)

Learn Microsoft Azure : Step by Step in 7 days for .NET Developers
par: Pawar, Saillesh.

Mastering Azure Synapse Analytics : Learn how to develop end-to-end analytics solutions with Azure Synapse Analytics
par: Ghosh, Debananda.

Building web services with Microsoft Azure : quickly develop scalable, REST-based applications or services and learn how to manage them using Microsoft Azure
par: Belotserkovskiy, Alex.
Publié: (2015)

Machine Learning Automation with TPOT : Build, validate, and deploy fully automated machine learning models with Python
par: Radecic, Dario.

Learning Azure functions : build scalable cloud systems with serverless architecture
par: Yadav, Manisha.
Publié: (2017)

Microsoft Azure security
par: Freato, Roberto.
Publié: (2015)

Machine learning : end-to-end guide for Java developers
par: Reese, Richard M..
Publié: (2017)

Microsoft Azure AI Fundamentals AI-900 Exam Guide : Gain proficiency in Azure AI and machine learning concepts and services to excel in the AI-900 exam
par: Guilmette, Aaron.

Up and Running Google AutoML and AI Platform : Building Machine Learning and NLP Models Using AutoML and AI Platform for Production Environment
par: Agrawal, Amit.

Microsoft Azure : enterprise application development
par: Dudley, Richard J..
Publié: (2010)

Deployment of Microsoft Azure cloud solutions : a complete guide to cloud development using Microsoft Azure
par: Klaffenbach, Florian.
Publié: (2018)

Advanced Serverless Architectures with Microsoft Azure : Design complex serverless systems quickly with the scalability and benefits of Azure
par: Bass, Daniel.
Publié: (2019)

Limitless Analytics with Azure Synapse : An end-to-end analytics service for data processing, management, and ingestion for BI and ML requirements
par: Mishra, Prashant Kumar.
Publié: (2021)

Build, train, and deploy end-to-end machine learning and deep learning pipelines
par: Kolodiazhnyi, Kirill.
Publié: (2020)

DevSecOps for Azure : End-to-end supply chain security for GitHub, Azure DevOps, and the Azure cloud
par: Okeyode, David.

Microsoft Azure development cookbook
par: Freato, Roberto.
Publié: (2014)

Stream Analytics with Microsoft Azure
par: Basak, Anindita.
Publié: (2017)

Microsoft Azure storage essentials
par: Soueidi, Chukri.
Publié: (2015)

Microsoft Azure IaaS essentials
par: Ellis, Gethyn.
Publié: (2015)

Machine Learning Engineering with MLflow : Manage the end-to-end machine learning life cycle with MLflow
par: Lauchande, Natu.
Publié: (2021)

Cloud Analytics with Microsoft Azure : Transform your business with the power of analytics in Azure
par: Altaiar, Has.
Publié: (2021)

Learn Azure Sentinel : Integrate Azure security with artificial intelligence to build secure cloud systems
par: Diver, Richard.
Publié: (2020)

Optimizing Microsoft Azure Workloads : Leverage the Well-Architected Framework to boost performance, scalability, and cost efficiency
par: Skaria, Rithin (19..-....).

Automated Machine Learning : Hyperparameter optimization, neural architecture search, and algorithm selection with cloud platforms
par: Masood, Adnan.
Publié: (2021)

SQL Server on Azure Virtual Machines : A hands-on guide to provisioning Microsoft SQL Server on Azure VMs
par: D'antoni, Joey.
Publié: (2020)

Automated Machine Learning on AWS : Fast-track the development of your production-ready machine learning applications the AWS way
par: Potgieter, Trenton.
Publié: (2022)

Beginning serverless architectures with Microsoft Azure
par: Bass, Daniel.
Publié: (2018)

Université catholique de l'Ouest - Bibliothèques - 3 place André Leroy - BP10808 - 49008 ANGERS Cedex 1