Scalable Machine Learning and Data Science with F#
Multiple items
val float : value:'T -> float (requires member op_Explicit)

Full name: Microsoft.FSharp.Core.Operators.float

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type float = System.Double

Full name: Microsoft.FSharp.Core.float

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type float<'Measure> = float

Full name: Microsoft.FSharp.Core.float<_>
Multiple items
val int : value:'T -> int (requires member op_Explicit)

Full name: Microsoft.FSharp.Core.Operators.int

--------------------
type int = int32

Full name: Microsoft.FSharp.Core.int

--------------------
type int<'Measure> = int

Full name: Microsoft.FSharp.Core.int<_>

Scalable Machine Learning and Data Science with F#


Tomas Petricek, fsharpWorks
@tomaspetricek | tomasp.net | fsharpworks.com

non-profit books and tutorials

cross-platform community data science

F# Software Foundation

commercial support open-source contributions

machine learning www.fsharp.org web and cloud

consulting user groups research

Data science

Machine learning

Scaling to the cloud

DATA SCIENCE

Visualizing World Indicators

Code | Result

FsLab

Unified data-science package

F# Data

Type providers for data access

Deedle

Data frame & time-series for .NET

MACHINE LEARNING

Clustering Countries

Code | Result

1: 
2: 
3: 
distance  : ('T -> 'T -> float)  ->
aggregate : ('T -> 'T[] -> 'T) ->
  count:int -> input:'T[] -> Clustering

CLOUD

Scaling with M-Brace and Azure

Code | Result

async { … }
cloud { … }

Language for ML & DSwww.fsharp.org

Data Science Package www.fslab.org

Scales to the Cloud www.m-brace.net

Learn more

Tomas Petricek (@tomaspetricek & tomas@tomasp.net)

Come for a Chat at the Poster Session!

F# Meetup on Web + Azure tonight

F# Friday Chat (on campus, Friday 5)