Machine Learning Security with Azure : Best practices for assessing, securing, and monitoring Azure Machine Learning workloads

Machine Learning Security with Azure : Best practices for assessing, securing, and monitoring Azure Machine Learning workloads

Enregistré dans:

Détails bibliographiques
Auteur principal:	Kalyva, Georgia. (Auteur)
Autres auteurs:	Kavvalakis, George. (Préface)
Support:	E-Book
Langue:	Anglais
Publié:	Birmingham : Packt Publishing.
Autres localisations:	Voir dans le Sudoc
Accès en ligne:	Accès à l'E-Book
Lien:	Autre support: Machine Learning Security with Azure : Best practices for assessing, securing, and monitoring Azure Machine Learning workloads / Georgia Kalyva ; [Foreword by George Kavvalakis]

Documents similaires

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

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

Mastering Azure Security : Keeping your Microsoft Azure workloads safe
par: Toroman, Mustafa.
Publié: (2022)

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)

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

Azure Security Cookbook : Practical recipes for securing Azure resources and operations
par: Miles, Steve.

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

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

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

Automated Machine Learning with Microsoft Azure : Build highly accurate and scalable end-to-end AI solutions with Azure AutoML
par: Sawyers, Dennis Michael.
Publié: (2021)

Microsoft Azure Security Technologies (AZ-500) - A Certification Guide : Get qualified to secure Azure AD, Network, Compute, Storage and Data services through Security Center, Sentinel and other Azure security best practices
par: Sharma, Jayant.

Machine Learning Security Principles : Keep data, networks, users, and applications safe from prying eyes
par: Mueller, John.

Microsoft Azure Security Technologies Certification and Beyond : Gain practical skills to secure your Azure environment and pass the AZ-500 exam
par: Okeyode, David.
Publié: (2021)

Practical Machine Learning
par: Gollapudi, Sunila.
Publié: (2016)

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

Machine Learning Engineering on AWS : Build, scale, and secure machine learning systems and MLOps pipelines in production
par: Lat, Joshua Arvin.
Publié: (2022)

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.

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

Azure networking cookbook : practical recipes to manage network traffic in Azure, optimize performance, and secure Azure resources
par: Toroman, Mustafa.
Publié: (2019)

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

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

Practical machine learning in R
par: Nwanganga, Fred (19..-....).

Practical Machine Learning Cookbook
par: Tripathi, Atul.
Publié: (2017)

Machine learning
par: Mueller, John Paul (1958-....).

Learning Puppet security
par: Slagle, Jason.
Publié: (2015)

Machine learning for cybersecurity cookbook : over 80 recipes on how to implement machine learning algorithms for building security systems using Python
par: Tsukerman, Emmanuel.
Publié: (2019)

Machine learning for Mobile : practical guide to building intelligent mobile applications powered by machine learning
par: Gopalakrishnan, Revathi.
Publié: (2018)

Azure Networking Cookbook : Practical recipes for secure network infrastructure, global application delivery, and accessible connectivity in Azure
par: Toroman, Mustafa.
Publié: (2020)

Machine Learning for Beginners : Learn to Build Machine Learning Systems Using Python
par: Bhasin, Harsh, 19..-...., informaticien.
Publié: (2020)

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

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

Mastering machine learning with scikit-learn : learning to implement and evaluate machine learning solutions with scikit-learn
par: Hackeling, Gavin.
Publié: (2017)

Machine learning : expert techniques to tackle complex machine learning problems using Python
par: Thanaki, Jalaj.
Publié: (2018)

Machine Learning with Python : Unlocking AI Potential with Python and Machine Learning
par: Theobald, Oliver.

Machine Learning in Microservices : Productionizing microservices architecture for machine learning solutions
par: Abouahmed, Mohamed.

Machine learning algorithms : popular algorithms for data science and machine learning
par: Bonaccorso, Giuseppe.
Publié: (2018)

Python Machine Learning : Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow 2
par: Raschka, Sebastian.
Publié: (2019)

Machine learning : the new AI
par: Alpaydin, Ethem.
Publié: (2016)

Machine learning : theory and applications
par: Govindaraju, Venugopal (1964-....).
Publié: (2013)

Machine Learning Engineering with Python : Manage the lifecycle of machine learning models using MLOps with practical examples
par: Mcmahon, Andrew P..

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