25 episodes

AI Show. Learn more at https://aischool.microsoft.com.

AI Show - Channel ‪9‬ Microsoft

    • Technology
    • 4.7 • 3 Ratings

AI Show. Learn more at https://aischool.microsoft.com.

    • video
    Build Responsible AI using Error Analysis toolkit

    Build Responsible AI using Error Analysis toolkit

    Error Analysis, a new Responsible AI open source toolkit, enables machine learning practitioners to identify model errors and diagnose the root causes behind these errors, helping to build responsible, reliable, and trusted solutions. Jump to: [01:24] About AI models[02:37] Error analysis [04:23] Interpretability and fairness [06:34] About Error Analysis toolkit [11:46] Error explorer demo [22:18] Debugging demos - Global and Local explanations Learn more: Blog on MSFT Tech Community: https://aka.ms/AIShow/RAIBlog Website: https://aka.ms/AIShow/RAISiteReadme: https://aka.ms/AIShow/EADSample notebook: https://aka.ms/AIShow/Notebooks/EACreate a Free account (Azure) Don't miss new episodes, subscribe to the AI Show join us every other Friday, for an AI Show livestream on Learn TV and YouTube https://aka.ms/LearnTV - https://aka.ms/AIShowLive

    • 26 min
    • video
    What’s new with Image Captioning

    What’s new with Image Captioning

    Learn about the latest research breakthrough in Image captioning and latest updates in Azure Computer Vision 3.0 API. Image captioning service generates automatic captions for images, enabling developers to use this capability to improve accessibility in their own applications and services. Jump to: [00:47] What is computer vision cognitive services? [01:15] What is Imaging Captioning? [02:40] Novel Object Captioning at scale[06:25] Image captioning examples [08:25] Demo: API can be integrated into your application [11:15] What's new in Computer Vision API [12:38] Get started For more information: What's that? Microsoft's latest breakthrough, now in Azure AI, describes images as well as people do - The AI BlogImage Descriptions - Computer Vision - Azure Cognitive Services | Microsoft DocsNovel object captioning surpasses human performance on benchmarks - Microsoft ResearchCreate a Free account (Azure)Deep Learning vs. Machine Learning Get Started with Machine LearningDon't miss new episodes, subscribe to the AI Show and join us every other Friday, for an AI Show livestream on Learn TV and YouTube https://aka.ms/LearnTV - https://aka.ms/AIShowLive

    • 13 min
    • video
    What's new with Speech: Custom Neural Voice now in GA

    What's new with Speech: Custom Neural Voice now in GA

    In this episode of the AI Show, Seth, Edward and Sarah talk about a recently GA'd feature called Custom Neural Voice. Jump to: [04:05] About Traditional TTS and Neural TTS[05:20] Neural Voices samples[06:10] About Custom Neural Voice (now in GA)[08:30] Customer examples[10:37] responsible AI considerations Learn more: Text-to-speech documentation https://aka.ms/AIShow/SpeechDocs​Build a natural custom voice for your brand blog https://aka.ms/AIShow/CNVblog​Apply for access to Custom Neural Voice https://aka.ms/AIShow/ApplyRead through the questions from the Feb 10 'Ask Microsoft Anything event' https://aka.ms/AzureAIAMAStart your 30 day learning journey today https:///aka.ms/AIShow/LearnCreate a Free account (Azure) Don't miss new episodes, subscribe to the AI Show join us every other Friday, for an AI Show livestream on Learn TV and YouTube https://aka.ms/LearnTV - https://aka.ms/AIShowLive

    • 26 min
    • video
    What's new with Translator

    What's new with Translator

    We are introducing a new feature to our Translator Cognitive Service that will delight and excite developers! With this new feature, developers can intelligently translate documents (supporting a variety of file types) in batch. Jump To: [00:55] Overview[02:34] Sample Use Cases[03:23] Introduction to document translation[04:18] Demo[07:56] Output from document translationFor More Information: Translator DocumentationTranslator Home PageTranslator | Microsoft AzureCreate a Free account (Azure)Deep Learning vs. Machine Learning Get Started with Machine LearningDon't miss new episodes, subscribe to the AI Show

    • 10 min
    • video
    Machine Learning Experiences in Azure Synapse

    Machine Learning Experiences in Azure Synapse

    Machine learning is an important piece of any Analytics solution. The integration between Synapse and Azure ML promotes a seamless collaboration between data professionals in Synapse and ML professionals in Azure ML. In Synapse Studio, users of all skill levels can leverage ML models built in Azure Machine Learning across their organizations to analyze and enrich data. ​Synapse users can also leverage code free and code experiences to seamlessly train ML models using in Synapse notebooks thanks to automated machine learning powered by Azure Machine Learning. ​The integration between Synapse and Azure ML is making data enrichment through machine learning more accessible to Synapse users, which allows for greater analytics insights. Jump To: [00:46] – What is Azure Synapse?[07:08] – Overview of new ML experiences[11:30] – Demo: Leverage Azure Cognitive Services in Azure Synapse[15:21] – Demo: Train a model with AutoML in Azure Synapse[18:06] – Demo: Model scoring in Azure Synapse dedicated SQL PoolFor more information: Getting Started ToolkitAzure Synapse Automated ML TutorialLink an Azure Synapse WS to Azure ML WSMachine Learning in SynapseScoring TutorialCreate a Free account (Azure)Deep Learning vs. Machine Learning Get Started with Machine LearningDon't miss new episodes, subscribe to the AI Show

    • 22 min
    • video
    Tagging Audio using Deep Learning

    Tagging Audio using Deep Learning

    Andreas Vrålstad chats with Seth Juarez about how we can use deep learning for audio. We'll explain how we can use sounds, convert them into images and build a classifier model to tag songs according to mood. Jump To: [00:00] Introduction[01:05] Introducing the case[01:16] Demo[02:42] Working with the Peltarion Platform[17:05] Building a spectrogram[22:57] Calling the deployed modelLearn More: Do this yourself - step-by-step tutorialHow this case has been done in real life. Case story with the music marketplace, Epidemic SoundCreate a Free account (Azure)Deep Learning vs. Machine Learning Get Started with Machine LearningDon't miss new episodes, subscribe to the AI Show

    • 26 min

Customer Reviews

4.7 out of 5
3 Ratings

3 Ratings

MarkAArnold ,

Good Azure AI/ML overview

I appreciate that Seth asks the questions I would ask. Good coverage of the ML and AI tools in Azure, meaningful for devs as well as data scientists.

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