{"id":65166,"date":"2025-10-27T13:32:50","date_gmt":"2025-10-27T12:32:50","guid":{"rendered":"https:\/\/www.schneider.im\/microsoft-azure-machine-learning-in-a-day-closed-workshop-1-day\/"},"modified":"2025-10-27T13:32:50","modified_gmt":"2025-10-27T12:32:50","slug":"microsoft-azure-machine-learning-in-a-day-closed-workshop-1-day","status":"publish","type":"page","link":"https:\/\/www.schneider.im\/fr\/microsoft-azure-machine-learning-in-a-day-closed-workshop-1-day\/","title":{"rendered":"Microsoft Azure Machine Learning in a Day Closed Workshop (1 Day)"},"content":{"rendered":"<p><strong>Key Components<\/strong><\/p>\n<ul>\n<li><strong>AutoML<\/strong>: Discover automated machine learning capabilities that simplify model selection and training.<\/li>\n<li><strong>Pipelines<\/strong>: Learn to design and manage end-to-end machine learning workflows effectively.<\/li>\n<li><strong>Data Drift<\/strong>: Understand how to monitor and address data drift to maintain model performance.<\/li>\n<li><strong>ML Ops<\/strong>: Explore best practices for deploying and managing machine learning models in production.<\/li>\n<li><strong>Responsible ML<\/strong>: Gain insights into fairness and interpretability in machine learning applications.<\/li>\n<\/ul>\n<p><strong>Your Benefits<\/strong><\/p>\n<ul>\n<li><strong>Expert Services<\/strong>: Get first-hand insights and guidance from the experts.<\/li>\n<li><strong>Enhanced Understanding<\/strong>: Build a solid foundation in Azure Machine Learning Services and their features.<\/li>\n<li><strong>Practical Experience<\/strong>: Participate in hands-on sessions that provide real-world scenarios and applications.<\/li>\n<li><strong>Strategic Insights<\/strong>: Learn to effectively implement machine learning solutions tailored to your organizational goals.<\/li>\n<li><strong>Networking Opportunities<\/strong>: Connect with like-minded professionals and expand your industry connections.<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>The WorkshopPLUS &#8211; Machine Learning in a Day is an intensive program focused on the capabilities of Azure Machine Learning Service. Over the course of one day, participants will delve into essential topics such as AutoML, Pipelines, Data Drift, and ML Ops. The session emphasizes responsible AI, including principles of fairness and interpretability. Attendees will emerge with a solid understanding of how to leverage Azure Machine Learning to drive impactful machine learning solutions in their organizations.<\/p>\n","protected":false},"author":11,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"open","ping_status":"open","template":"","meta":{"footnotes":""},"categories":[823],"tags":[904],"class_list":["post-65166","page","type-page","status-publish","hentry","category-workshops","tag-azure-machine-learning"],"_links":{"self":[{"href":"https:\/\/www.schneider.im\/fr\/wp-json\/wp\/v2\/pages\/65166","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.schneider.im\/fr\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.schneider.im\/fr\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.schneider.im\/fr\/wp-json\/wp\/v2\/users\/11"}],"replies":[{"embeddable":true,"href":"https:\/\/www.schneider.im\/fr\/wp-json\/wp\/v2\/comments?post=65166"}],"version-history":[{"count":0,"href":"https:\/\/www.schneider.im\/fr\/wp-json\/wp\/v2\/pages\/65166\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.schneider.im\/fr\/wp-json\/wp\/v2\/media?parent=65166"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.schneider.im\/fr\/wp-json\/wp\/v2\/categories?post=65166"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.schneider.im\/fr\/wp-json\/wp\/v2\/tags?post=65166"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}