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
    In this article, Sahil Malik demonstrates how to use Microsoft Cognitive Services' Face API to build an application that can detect, identify, and recognize human faces by creating and training a person group with associated images. He explains the API’s capabilities, the process of adding persons and faces, training the model, and performing identification via simple REST calls, highlighting its ease of use and scalability. Sahil emphasizes the practical potential of th...See More
  • 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
    In this article, Wei-Meng Lee introduces Microsoft Cognitive Services as an accessible way for developers to integrate artificial intelligence capabilities—such as image analysis, face recognition, OCR, and custom vision—into Python, iOS, and Android applications without deep AI expertise. He provides detailed examples using REST APIs and cURL, demonstrates building apps across platforms, and explores training custom models like recognizing durians. Lee emphasizes the ea...See More