Seth Juarez introduces the nuML machine learning library, addressing the clustering issue in .NET applications by focusing on recommendation engines and anomaly detection.
Brian Korzynski unveils the secrets on LINQ, how it works and the constructs it uses, covering Funcs, Actions, lambdas, and expressions.
Chris Risner demos an Android app built with Azure Mobile Services using structured data stored in the cloud, GCM push notifications with a single line of code, authentication, security and others.
Tomas Petricek introduces F#’s capabilities in dealing with scientific data: type providers -CSV, XML, JSON, REST-, interactive development, data visualization libraries, integration with R or MathLab
Mitchel Sellers uses multiple real-world applications to show practical implementations of Async within actual applications, covering various scenarios and implementations of the Async pattern.
Phil Trelford demoes accessing a variety of data sources via F# Type Providers.
Felienne Hermans introduces BumbleBee, a refactoring and metaprogramming spreadsheets tool based on a DSL that can perform transformations against spreadsheet formulas.
Matthew Moloney discusses using F# and .NET inside Excel, demonstrating doing big data, cloud computing, using GPGPU and compiling F# Excel UDFs.
Luke Hoban introduces TypeScript and its implications for writing web applications and creating supporting tooling.
Justin Kobel introduces claims-based authentication, what are claims, their life cycle, explaining how to consume them in .NET through a number of demoes.