Machine Learning Archives | Premier Developer

So You Want to Build an AI Solution?

Premier DeveloperMay 11, 2020May 11, 202005/11/20

The most valuable lesson from our recent work was the time invested in identifying opportunities on how best to leverage AI to enhance our customer’s solutions before delving into architectural decisions and proceeding with a proof of concept.

Machine Learning – Lessons from our POC

Premier DeveloperApril 10, 2020Apr 10, 202004/10/20

Using multiple algorithms and tuning the algorithms to find the optimum value for each parameter also improves the accuracy of the model. However, it is not necessary that higher accuracy models always give the accurate results, as sometimes, the improvement in model’s accuracy can be due to over-fitting too.

Bias in Machine Learning

Premier DeveloperApril 7, 2020Apr 7, 202004/7/20

Machine learning is the scientific study of algorithms and statistical models that result in devices automatically learning and improving from experiences without being explicitly programmed. With so much success integrating machine learning into our everyday lives, the obvious next step is to integrate machine learning into even more systems.

Custom AI Models with Azure Machine Learning Studio and ML.NET

Premier DeveloperApril 2, 2019Apr 2, 201904/2/19

From the ready-to-consume set of Azure Cognitive Services to the comprehensive set of tools for data scientists available in Azure Machine Learning Service, there are many ways to apply AI into your products and services.

Exploring Feature Weights using R and Azure Machine Learning Studio

Premier DeveloperMarch 1, 2019Mar 1, 201903/1/19

I find that machine learning experiment’s results are always interesting and somewhat unexpected in certain cases. On this comparison, the feature ranking results of PFI are often different from the feature selection statistics that are utilized before a model is created. This is useful in many cases, especially when training “black-box” models where it is difficult to explain how the model characterizes the relationship between the features and the target variable.

AI Discovery Days at a Microsoft Location Near You

Premier DeveloperSeptember 4, 2018Sep 4, 201809/4/18

Microsoft’s vision is to democratize AI and make it accessible and valuable to everyone.  Join us to learn how to start building intelligence into your solutions with the Microsoft AI platform, including pre-trained AI services like Cognitive Services and Bot Framework, as well as deep learning tools like Azure Machine Learning.

Yes or No Classification: Practical Logistic Regression

Premier DeveloperSeptember 21, 2017Sep 21, 201709/21/17

In this post, App Dev Managers Edward Fry and Sheldon Ledbetter explorer the practical implications of Logical Regression and how we’re using to solve problems in systems via Machine Learning. Logistic Regression. The very phrase is a mouthful. It's easy to imagine it being used by actors to improve elocution or by math professors to

AI with an Online College

Premier DeveloperApril 20, 2017Apr 20, 201704/20/17

Senior Application Development Manager, Justin Scott, launched a new podcast this month you will want to check out. AI exposed looks at the world of Artificial Intelligence-- discussing some of the latest trends, interviewing industry experts, and having fun in the process. In Episode#1, Justin Scott sits with one of our Microsoft dat

Big Data on Azure: A Real-World Implementation Using Cortana Analytics

Premier DeveloperSeptember 21, 2015Sep 21, 201509/21/15

Premier Support for Developers was part of the first ever Cortana Analytics Workshop earlier this month. Be sure and check out our own Brian Raymer discuss how an international customer can ingest millions of events per hour, exploit near-real-time analytics, and tackle true 'Big Data' problems successfully on our Azure data platform. This t

Azure ML: NCAA Bracket Prediction – A competitor perspective

Premier DeveloperMay 7, 2015May 7, 201505/7/15

Chandra Sekar, Senior Application Development Manager, shares how his simple exploration into Azure Machine Learning quickly produced an accurate predication of March Madness. If you watched the Day 2 BUILD keynote you might have noticed Joseph Sirosh, CVP-Machine Learning, talking about an internal hackathon where competitors used Azur

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