Sooner or later printfn style of logging becomes too cumbersome and you start to search for a logging library. For F# developers the most obvious choice is Logary, but very soon you find out that your Logary logging code is...
During last 10-15 years, machine learning gradually moved from academia to industry. There are many open source frameworks like Scikit Learn, Spark MLlib and hundreds of lines of R code available for applied developers. Yet experimenting and development of machine...
The post “SVM Classification in F#” shows how fast is to implement SVM classification and Sequential Minimal Optimization (SMO) method in F#, but it doesn’t show how fast is the F# implementation. Unfortunately, the performance of that code is too...
Support Vector Machines (SVMs) is a very popular machine learning method for classification, regression, distribution estimation, etc. Exceptional feature of this method is an ability to handle objects of a diverse nature as soon as there is a suitable kernel...
Many problems in engineering, finance and statistics can not be solved by direct methods, but a great number of them can be solved approximately using randomized algorithms. All those algorithms need flexible and efficient pseudo-random number generators. An effective implementation...