Showing results for Machine Learning - ISE Developer Blog

Mar 13, 2025
Post likes count1

Flexible Tool Selection for ML Model Production

Rob Cameron Daniel Ferguson Swetha Anand
Rob,
Daniel,
Swetha

data science and software engineering teams can choose the best tools for their respective roles in delivering machine learning models to production.

CSEMachine LearningISE
Mar 6, 2025
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Multi Root Workspaces in Visual Studio Code

Colin Desmond
Colin Desmond

How to manage multiple independent python projects, with different dependencies, inside Visual Studio Code.

CSEMachine Learning
Dec 6, 2024
Post likes count2

Implementing Evaluation platform on Azure Machine Learning

David Lee
David Lee

Azure Machine Learning is known for training and deploying models, but can also be used for running experiments. This blog post will show us how we have implemented our Evaluation platform on Azure Machine Learning.

CSEMachine Learning
Aug 16, 2024
Post likes count8

Semantic Router using Azure AI Search

Christopher Buckley
Christopher Buckley

Potential semantic routing solution using Azure AI Search for scalable query handling.

CSEMachine LearningCognitive Services
Jun 9, 2023
Post likes count3

Coding with AI

Peter Lasne
Peter Lasne

Our team used AI tools to write code, documentation, indexes, etc. extensively during our last engagement. This post will talk about what we used and how we used it.

CSEMachine Learning
Sep 27, 2021
Post likes count1

Detecting “Action” and “Cut” in Archival Footage Using a Multi-model Computer Vision and Audio Approach with Azure Cognitive Services

Nile Wilson
Nile Wilson

Movies and TV shows require multiple takes per scene and may have a substantial amount of archival footage as a result. Here, we use Azure Cognitive Services and custom code to develop a multi-model Machine Learning (ML) solution to automatically detect discardable footage to save media companies manual archiving hours and storage space.

CSEMachine LearningCognitive Services
Sep 20, 2021
Post likes count0

Building an Action Detection Scoring Pipeline for Digital Dailies

Samuel Mendenhall
Samuel Mendenhall

Media companies capture footage filmed for the entire day in what's known as ‘digital dailies’. When talking about terabytes and petabytes of content, storage costs can be a factor. Lets explore Machine Learning approaches to identify which content can be archived or discarded which will save on those storage costs.

CSEMachine LearningCognitive Services
Jun 14, 2021
Post likes count0

Entity Disambiguation Using Search Engine

Maysam Mokarian
Maysam Mokarian

This blog post proposes a methodology to disambiguate misspelled entities by comparing the search retrieval performance with different custom search analyzers in a search engine.

CSEMachine LearningCognitive Services