Data Science|Oct 1, 2018

Microsoft Custom Vision: Creating an Image Classification Model

Creating a model to classify images would usually involve creating your own deep learning model from scratch. This includes having a very large and diverse set of training images with a portion of them set aside as a test set, a good convolutional neural network as the model, and a GPU enabled machine to do…
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Blogs|Sep 18, 2018

Microsoft Custom Vision: Predict Images with C#

In the previous post, we showed how to train an image classification model using the Microsoft Custom Vision service as well as to perform a quick test on a new image. However, what if you want to integrate this model into one of your applications that is using C#? Whether it’s an app that runs…
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.NET Core
Blogs|Aug 30, 2018

Creating a Daemon with .NET Core (Part 2)

This little project is a practical implementation of a blog post I wrote about implementing daemons in .NET Core. This daemon is a .NET Core console app that is using a Generic Host to host an MQTT Server based on the code in MQTTNet, which has become my go-to library for MQTT for .NET apps…
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Blogs|Aug 20, 2018

How to REALLY delete an Azure Active Directory B2C tenant

You probably landed here after feeling a little of the pain inherent in attempting to delete an Azure Active Directory B2C tenant. I have read several FAQ’s, How To’s, posts, and forum pleadings on the topic and I’ve yet to find one that definitively helped me remove above 20+ test B2C tenants clogging my menu…
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Blogs|Aug 17, 2018

Evaluate Your Models with Cross Validation in ML.NET

Let’s say you’ve been working on a machine learning model and your initial evaluation on test data looks good but is that the same kind of performance you’ll get once you deploy your model to take on actual data it hasn’t seen before? This can happen if your model has overfitted to your data. We…
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.NET Core
Blogs|Aug 13, 2018

Creating a Daemon with .NET Core (Part 1)

Daemons are as essential to servers as caffeine and pizza are to developers. The executables run as services on a server waiting to receive input usually from a network call, and respond to it by providing something back to the the user who called it.  .NET Core is the venerable cross-platform development stack for Linux,…
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Blogs|Jul 31, 2018

Save and Read Models in ML.NET

Often times you’ll be iterating on your model to try to get it to perform well with new data, so you’ll be training on it for each of those iterations. However, once you feel like you have a model that you believe is good to use, what do you do next? In this post, we’ll…
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Security
Docker|Jul 26, 2018

Security Best Practices for Docker Images

Docker Hub is a blessing and a curse at times. It’s a great way to share Docker images to the public, but it can be used by hackers to sneak code into environments with malicious intent. Recently, a hacker uploaded images into Docker Hub that were downloaded over 5,000,000 times. The intent was to turn…
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Burnt Computer
Blogs|Jul 26, 2018

Using Rclone with Azure for a Low-cost Backup

While backups are often one of the most overlooked planks in a comprehensive data security plan, they are are probably among the most important things one can do for data security. It’s works as an insurance policy against data loss which can be caused by a myriad of things ranging from accidental deletion, to drive…
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Blogs|Jul 10, 2018

Machine Learning with C#: An Introduction to ML.NET

When you think of data science and machine learning two programming languages are going to instantly pop into your mind: Python and R. These two languages are great and I love working with them, but coming from a .NET and C# background myself it would be nice to see some love for data science in…
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