The release of .NET Core version 3 contains some exciting cross-platform profiling tools. Today I’ll use some of the newly available tools to target problem areas and improve performance of my F#-based library: FastDtw, as seen here.
FastDtw, an F# Implementation
Read Time: 8 minutesToday’s post is a short introduction into using FastDtw for Dynamic Time Warping analysis. Specifically it is a quick introduction to using my newly released FastDtw package.
F# and ML.NET Regression
Read Time: 10 minutesToday I’ll look at using F# and ML.NET to perform some model building. Specifically to predict concrete compressive strength based on its composite ingredients. If this sounds familiar, it is. This is a revisit of a previous post that explored a beta version of ML.NET. This time around, the version 1 interface will be used.
Nyquist Keyboard Build
Read Time: 2 minutesFable and Cordova, a Mobile Story
Read Time: 9 minutesToday’s article will look at combining Fable and Cordova to make a mobile application. For those not familar with these projects, a little context may be helpful. Fable compiles F# to Javascript and Cordova facilitates mobile app development using HTML and Javascript. Throw in some Elmish, and its a party. Joining these technologies provides some unique possibilities. Specifically this is an interesting way to leverage F# for mobile development.