Thanks to Chris Sainty and Remi Bourgarel, working with local storage from a Blazor application running either in the browser or out of it is relatively easy. Testing your code can be equally easy but only if you set up support the real world of network connections.
Dr. James McCaffrey of Microsoft Research explains how to programmatically split a file of data into a training file and a test file, for use in a machine learning neural network for scenarios like predicting voting behavior from a file containing data about people such as sex, age, income and so on.
- By James McCaffrey
- 09/01/2020
Mobilize.Net, an "automated modernization" specialist headed by a former Microsoft corporate VP, has upgraded its Visual Basic upgrade tool to target .NET Core, the open source, cross-platform successor of the Windows-only .NET Framework.
Dr. James McCaffrey of Microsoft Research uses a full code program and screenshots to explain how to programmatically encode categorical data for use with a machine learning prediction model such as a neural network classification or regression system.
- By James McCaffrey
- 08/12/2020
Dr. James McCaffrey of Microsoft Research uses a full code sample and screenshots to show how to programmatically normalize numeric data for use in a machine learning system such as a deep neural network classifier or clustering algorithm.
- By James McCaffrey
- 08/04/2020
Not surprisingly, it's dead easy to create an app in Blazor that runs outside of the browser window and (potentially) in an offline mode. Before you get carried away, though, there are some key design decisions to make.
DevOps specialist GitLab has officially taken over the control of a GitLab extension for Microsoft's open source, cross-platform Visual Studio Code editor.
After previously detailing how to examine data files and how to identify and deal with missing data, Dr. James McCaffrey of Microsoft Research now uses a full code sample and step-by-step directions to deal with outlier data
- By James McCaffrey
- 07/14/2020
Visual Studio senior program manager Mads Kristensen has created a new extension pack for the IDE to ease the acquisition of the basic tools that would benefit all developers.
Turning his attention to the extremely time-consuming task of machine learning data preparation, Dr. James McCaffrey of Microsoft Research explains how to examine data files and how to identify and deal with missing data.
- By James McCaffrey
- 07/06/2020
Right now, in Visual Studio, you can create a solution that takes a single UI with its code and shares it across Windows, Android, macOS, iOS and web browsers. It's not a perfect cross-platform solution (yet), but it's here now.
Dr. James McCaffrey of Microsoft Research presents the fundamental concepts of tensors necessary to establish a solid foundation for learning how to create PyTorch neural networks, based on his teaching many PyTorch training classes at work.
- By James McCaffrey
- 06/15/2020
Dr. James McCaffrey of Microsoft Research uses a complete demo program, samples and screenshots to explains how to install the Python language and the PyTorch library on Windows, and how to create and run a minimal, but complete, neural network classifier.
- By James McCaffrey
- 06/08/2020
Clustering non-numeric -- or categorial -- data is surprisingly difficult, but it's explained here by resident data scientist Dr. James McCaffrey of Microsoft Research, who provides all the code you need for a complete system using an algorithm based on a metric called category utility (CU), a measure how much information you gain by clustering.
- By James McCaffrey
- 06/03/2020
Really, you only need to do two kinds of testing: Unit testing (to make sure that your individual components work) and end-to-end testing (to make sure your application works). Anything else is just a waste of your time.
Dr. James McCaffrey of Microsoft Research explains the k-means++ technique for data clustering, the process of grouping data items so that similar items are in the same cluster, for human examination to see if any interesting patterns have emerged or for software systems such as anomaly detection.
- By James McCaffrey
- 05/06/2020
GraphQL gives clients who call your Web services the ability to specify what properties of your data objects they want. Here are two ways to let those clients also specify which data objects they want.
Dr. James McCaffrey of Microsoft Research uses code samples, a full C# program and screenshots to detail the ins and outs of kernal logistic regression, a machine learning technique that extends regular logistic regression -- used for binary classification -- to deal with data that is not linearly separable.
- By James McCaffrey
- 04/29/2020
Some developers prefer to create applications with Microsoft's open-source Blazor tooling from within the open-source, cross-platform Visual Studio Code editor. Here are the top tools in the VS Code Marketplace for those folk, as measured by the number of installations.
VSM Senior Technical Editor Dr. James McCaffrey, of Microsoft Research, explains why inverting a matrix -- one of the more common tasks in data science and machine learning -- is difficult and presents code that you can use as-is, or as a starting point for custom matrix inversion scenarios.
- By James McCaffrey
- 04/07/2020