39. Continuous Deployment for Machine Learning Models
Content type
Video
39. Continuous Deployment for Machine Learning Models
In the 39th episode of Betatalks, we're going to start integrating Machine Learning models with other production code! Jelle & Feli show you how you can consume machine learning models created in Azure Machine Learning.
Book tip: 'The Number Bias: How Numbers Lead and Mislead Us' - Sanne Blauw
More videos
-
129. Pattern Matching in C-sharp: Getting Started
In this Betatalks episode, Christian and Yvo show how C# pattern matching simplifies if/else logic, making business rules clearer, safer, and more concise.
Content typeVideo
-
128. How to Benchmark your .NET code
In this Betatalks episode, Christian and Jelle show how BenchmarkDotNet measures .NET performance, comparing string concatenation with StringBuilder to spot regressions.Content typeVideo
-
127. AI and RAG Scenarios Using Just SQL Server 2025
Christian and Jelle explore SQL Server 2025 AI features, showing embeddings, vector search, and semantic queries to build RAG style solutions directly in SQL.
Content typeVideo
Stay up to date with our Betatalks and tech updates!
Sign up and receive a biweekly update with the latest knowledge and developments.