Over the past year, Microsoft has been releasing a lot of free content on ODSC channels, from webinars to blog posts. If you haven’t yet, now’s the time to check out what they’ve been up to.
Besmira Nushi, Principal Researcher at Microsoft
Rahee Ghosh Peshawaria, Senior Technical Program Manager at Microsoft
This webinar explores the Responsible AI Toolbox, an open-source set of interoperable tools, libraries, and customizable tools designed to help accelerate and operationalize Responsible AI. You will discuss the new tooling additions and use a hands-on demonstration to examine their functionalities, with particular focus on the Responsible AI Dashboard’s ability to provide insights by utilizing the identification and diagnosis stage, which then can be used to ideate and implement different mitigation techniques via the Responsible AI Mitigations library.
Vinod Kurpad, Principal Product Manager at Microsoft
In this webinar, you’ll explore the latest updates to Form Recognizer, such as document classification and splitting, updates to model capabilities, including fonts, formulas, extracting barcodes, and normalizing keys, and zero shot field extraction with OpenAI capabilities. You’ll also discuss best practices for optimizing your use of Form Recognizer.
Bethany Jepchumba and Josh Ndemenge of Microsoft
This blog will guide you through the process of training a model using Notebooks in Azure Machine Learning Studio. By the end of the article, you will be able to use the PyTorch pre-trained DenseNet 201 model to classify different animals into 48 distinct categories.
Andreas Kopp, Sr. Cloud Solution Architect AI & Data Science at Microsoft
Harmke Alkemade, Cloud Solution Architect AI & Data Science at Microsoft
During this talk, you’ll learn how Federated Learning, which allows organizations to collaborate and share data while protecting the privacy of their data and safeguarding intellectual property. You’ll explore this approach through a real-world imaging use case and understand how it can contribute to improving medical research.
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