A tutorial for building a real-time sensor anomaly detector for use in municipal wastewater treatment systems.
Based on a solution used in Cities Unlocked, developers can create great voice recognition and command execution on iOS using Cognitive Services and LUIS.
Using Microsoft Cognitive Services and LUIS to develop applications that leverage machine learning and speech recognition.
Using Microsoft Bot Framework's QnA Maker to create a conversational interface for publishing FAQ-style content.
A detailed solution for orchestrating the creation and destruction of an HDInsight cluster via Azure App Services.
Developing a frame-by-frame video tagging tool for video processing and image recognition.
This case study describes a project with Toyota where we have constructed a machine learning web service that takes summary telemetry data as the input and assigns a risk rating to the trip.
In this real-life-code story, we show how we used Cognitive Services and LUIS to build a vehicle center console that can listen and respond to user's commands, specifically focusing on determining intent.
In this code story, we consider how data preparation can impact the performance of a classifier, and how that may lead to a refinement of problem statement, i.e. the important question we are asking.
An examination of whether a more sophisticated learner will always result in better performance in a text-based classifier, and the trade-off between accuracy and training time.
