Jon Wood shows how to use the SAFE Stack as well as how to implement a ML.NET model.
Jon Wood shows us how to use the new SQL Data Loader in ML.NET Model Builder to load in training data.
He also creates an Azure SQL database and load the data from an F# script.
.NET for Apache Spark empowers developers with .NET experience or code bases to participate in the world of big data analytics.
In this episode, Brigit Murtaugh joins Rich to show us how to start processing data with .NET for Apache Spark.
- [01:01] – What is Apache Spark?
- [02:33] – What are customers using Apache Spark for?
- [03:50] – What did we create .NET for Apache Spark?
- [06:30] – Exploring GitHub data
- [15:012] – Considering data processing in the real world
- [18:26] – Analyzing continuous data streams
In this episode, Phillip Carter sits down with Cecil to talk about the Ionide extension for Visual Studio Code.
Ionide has tons of great features for F# developers working in Visual Studio code such as autocomplete, packet integration, syntax highlighting and much more.
Whether you realize it or not, lambda calculus has already impacted your world as a data scientist or a developer. If you’ve played around in functional programming languages like Haskell or F#, then you are familiar some of the same ideas. In fact, AWS’s serverless product is named Lambda after this branch of mathematics.
Watch this video to learn about lambda calculus.