~/talks

Mathias Brandewinder

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Deep Learning with CNTK and F#NDC Sydney 20192019-10-14
Shows concrete use of CNTK .NET API from F# to train small models: a toy 64‑image classifier and a 5,000‑image handwriting model (500‑image test set yields 9…
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Dungeons, Dragons and FunctionsNDC Sydney 20192019-10-14
Encodes Dungeons & Dragons rules into F# using algebraic data types to model abilities, attacks and reach, builds a DSL for dice (roll expressions, operators…
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Dungeons, Dragons and FunctionsNDC Oslo 20192019-06-17
Models D&D Fifth Edition rules (the 316-page PHB plus 300+ page Monster and DM books — ~1,000+ pages of spec) in F# using discriminated unions, records and…
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Dungeons, Dragons and FunctionsNDC Minnesota 20192019-05-06
Reconstructs D&D rules into precise F# types and shows how F# discriminated unions and records make impossible states unrepresentable, turning vague 300–1,000+…
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Dungeons, Dragons and FunctionsNDC Copenhagen 20192019-03-27
Implements D&D 5e rules in F#, spending about six months turning PHB/DMG/Monster Manual specs into code using discriminated unions and records to model stats…
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Dungeons, Dragons and FunctionsNDC Porto 20192019-02-26
Argues that Dungeons & Dragons rules are a rich domain-modeling exercise and shows concrete results: uses F# and Fable + Elmish to encode abilities, attacks…
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Dungeons, Dragons and FunctionsNDC London 20192019-01-30
Tells how the 300‑page D&D rules get encoded into concrete types and functions in F# over four months, with discriminated unions and records for stats, a…
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Deep Learning with CNTK and F#NDC Oslo 20182018-06-11
Shows using the CNTK .NET API from F# with a small wrapper library and a VS Code scripting workflow, building sequential models (convolution + activation +…
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Deep Learning with CNTK and F#NDC Minnesota 20182018-05-07
Shows how to train real models with CNTK .NET API and F#: a toy classifier on 8x8 binary digits (32 ones, 32 twos) learns weights after ~1,000 passes and…
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Machine Learning with F#, ReduxNDC Sydney 20172017-08-14
Argues that .NET + F# is a practical ML stack and shows it end to end: uses IPython notebooks with an F# kernel and F# type providers to load Titanic CSVs…
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Growing Serverless code with Azure Functions and F#NDC Sydney 20172017-08-14
Explains how to build a real application using Azure Functions and F# by showing concrete techniques: use explicit module boundaries to avoid a spaghetti of…
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Scaling Serverless F# with Azure FunctionsNDC Oslo 20172017-06-14
Builds a Slack bot that pulls Yahoo exchange rates and posts every 5 seconds using Azure Functions with F#; the demo runs end-to-end (timer trigger → queue →…
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.NET Rocks Panel Discussion: Going ServerlessNDC Oslo 20172017-06-14
Panelists compare AWS Lambda, Azure Functions and Firebase with concrete tradeoffs: 3 second cold start and ~30 minute idle decay on Azure functions, a real…
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Agile Experiments in Machine Learning with F#NDC Mini Copenhagen 20172017-02-22
Just like traditional applications development, machine learning involves writing code. One aspect where the two differ is the workflow. While software…
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Serverless F# with Azure Functions: fsibot goes nano-servicesNDC London 20172017-01-16
Shows how F# and Azure Functions form tiny, composable services by turning fsibot into dozens of single-purpose functions; demos include code layout, bindings…
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Agile experiments in Machine Learning with F#Build Stuff 20162016-11-16
From #Vilnius to #Mallorca! BUILD STUFF is going to celebrate summer! An amazing weekend on APRIL 29-30, 2017 – MALLORCA, SPAIN will take you out of the office…
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