Articles filed in category 'Azure ML Studio'

  • Azure Machine Learning Workspace and MLOps
    It’s when you’re working with lots of data that you start looking around for an easier way to keep track of it all. Machine learning and artificial intelligence seem like the obvious answers, and Sahil shows you why.
  • Bots
    Sahil Malik’s article demystifies the rise of bots as the next era of human–computer interaction, arguing that bots are simply conversational interfaces built with the Microsoft Bot Framework. He explains core concepts—dialogs, state, channels, and the waterfall pattern—while outlining pragmatic design guidelines (simplicity, usefulness, and non-annoyance), and shows how to develop, test, and deploy bots across platforms (including Microsoft Teams) with practical steps, ...See More
  • Getting Started with Machine Learning Using Microsoft Azure ML Studio
    Got a sinking feeling that you’re missing something in Artificial Intelligence? This article is only the tip of the iceberg, but Wei-Meng offers you a helping hand into the lifeboat called Microsoft Azure Machine Learning Studio.
  • Identify Faces with Microsoft Cognitive Services
    When it’s time to wire your house to precipitate your every whim or need, you want to be sure that your robot doesn’t mistake “catsup” for “catnip.” Sahil talks about facial recognition and how it’s connected to speech and understanding.
  • Identify Voices with Microsoft Cognitive Services
    In this next installment of his exploration into artificial intelligence, Sahil explores Microsoft Cognitive Services’ ability to recognize voices from a thirty-second sample.
  • Introduction to Artificial Intelligence Using Microsoft Cognitive Services
    Using Cognitive Services, Wei-Meng shows you how ordinary mortals can create intelligent machines with human-like reactions. Siri and Alexa (and your Roomba) are going to have some new friends once you see how accessible it all is.