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
Anthony Saxby introduces the new capabilities added to SQL Server, SQL Server PDW and HDInsight in the first half of 2014.
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.
Delivering Performance Under Schedule and Resource Pressure: Lessons Learned at Google and Microsoft
Ivan Filho shares lessons learned during the development and release of several large scale services at Microsoft and Google from the perspective of a performance manager.
Matthew Moloney discusses using F# and .NET inside Excel, demonstrating doing big data, cloud computing, using GPGPU and compiling F# Excel UDFs.
Kathryn S. McKinley discusses research approaches and results that abstract, choose, and exploit hardware heterogeneity providing computational power at low energy consumption levels.