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43:06

Performance and How to Measure It

Posted by  on  Jul 28, 2016

Matt Warren takes a look at how to measure, what to measure and how get the best performance from .NET code, considering examples from the Roslyn codebase and StackOverflow (the product).

46:38

Vowpal Wabbit, A Machine Learning System

Posted by  on  Jul 03, 2016 1

John Langford discusses how to use Vowpal Wabbit in and as a machine learning system including architecture, unique capabilities, and applications, applied to personalized news recommendation.

52:45

Microsoft Cloud's Front Door: Building a Global API

Posted by  on  Jun 05, 2016

Charles Lamanna talks about the scale and architecture of Microsoft’s Azure Management Gateway and how Azure API’s are built for high availability and for data sovereignty.

55:41

Being Meta

Posted by  on  May 28, 2016

Jevgenij Nekrasov discusses doing meta-programming in .NET, including writing a custom DSL.

37:06

Predicting the Future: Surprising Revelations trom Truly Big Data

Posted by  on  May 24, 2016

Pushpraj Shukla discusses how Microsoft Bing predicts the future based on aggregate human behavior using one of the largest scale data sets, and recent progress in large scale deep learnt models.

27:23

Integrating Different IDEs with a Common Set of Developer Services

Posted by  on  May 13, 2016

David Staheli discusses approaches Microsoft is taking to plugin development, sharing experiences in reusing code across plugins for different IDEs, with demos of plugins in Eclipse, IntelliJ, and VS.

49:02

Unfrying Your Brain with F#

Posted by  on  Apr 24, 2016

Andrea Magnorsky discusses active patterns, computation expressions, parsers, using type providers and more. These language features help make code simpler and easier to maintain.

51:02

The Case for TypeScript

Posted by  on  Apr 17, 2016

Mohamed Hegazy provides a guided tour to TypeScript, showing how the language and toolset simplify application-scale JavaScript development.

40:29

A Board Game Night with Geeks

Posted by  on  Mar 30, 2016

Felienne Hermans explains how she used F# to determine if the game Quarto can end up in a tie or if there is always a winner. The technique used can be applied to scheduling and register allocation.

43:06

Creating a Rainstorm Using Infrared and C#

Posted by  on  Mar 20, 2016

Lisa Taylor shares the story of programming trial and error. Using C#, JavaScript, pixels and bitmaps, loops and infrared light she created a digital rainstorm inside a shipping container.

50:24

Beyond Lists

Posted by  on  Mar 20, 2016 2

Phillip Trelford shows through live demos data structures that are orders of magnitude more performant than lists.

45:03

NET Machine Learning: F# and Accord.NET

Posted by  on  Mar 19, 2016

Alena Hall presents various machine learning algorithms available in Accord.NET - a framework for machine learning and scientific computing in .NET.

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