catlion

module ConstrainedTypes =
    open System

    // General hints on defining types with constraints or invariants
    // 
    // Just as in C#, use a private constructor 
    // and expose "factory" methods that enforce the constraints
    //
    // In F#, only classes can have private constructors with public members. 
    //

catlion

#r "c:/dev/git/ContractLookup/tools/FAKE/tools/FakeLib.dll"
#r "System.Configuration.dll"

open Fake
open Fake.AssemblyInfoFile
open Fake.ReleaseNotesHelper
open Fake.ProcessHelper
open System
open System.Configuration
open System.IO

catlion

Target "Build" (fun _ ->

    !! "ContractLookup.sln"
    |> MSBuild buildDir "Build" [
             "Optimize", "True"
             "DebugSymbols", "True"
             "Configuration", "Debug"
             "Platform", "Any CPU"
          ]
    |> Log "Build-Output: "

catlion

A Few Useful Things to Know about Machine Learning

The paper presents some key lessons and "folk wisdom" that machine learning researchers and practitioners have learnt from experience and which are hard to find in textbooks.

1. Learning = Representation + Evaluation + Optimization

All machine learning algorithms have three components:

• Representation for a learner is the set if classifiers/functions that can be possibly learnt. This set is called hypothesis space. If a function is not in hypothesis space, it can not be learnt.
• Evaluation function tells how good the machine learning model is.
• Optimisation is the method to search for the most optimal learning model.