ОТНОСТНО ТОЗИ ЕПИЗОД
On this episode of Eat Sleep Code, Sr. Content Developer at Microsoft John Alexander talks about ML.NET, a set of new Machine Learning libraries for .NET. John explains the purpose of ML.NET and how it enables .NET developers to incorporate machine learning into their .NET (C# & F#) applications. ML.NET basics, extensiblity, and road maps are all discussed.
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ТЪРСЕНЕ на МИНАЛИ ЕПИЗОДИ
Търсене в минали епизоди на Eat Sleep Code Podcast.
ДРУГИ ЕПИЗОДИ В ТОЗИ ПОДКАСТ
On this episode of Eat Sleep Code, Jérôme Laban, Uno Platform CTO talks about the prospects of using Uno to create cross platform .NET applications. Jérôme also discusses the use of WebAssembly by Uno and what WebAssembly means for deploying .NET to the web.
On this episode of Eat Sleep Code, TJ Vantoll discusses the current state of building iOS, Android, and cross-platform AR applications. TJ shares his insight on what technologies are currently available, how to get started, and what to expect when building mobile AR applications.
On this episode of Eat Sleep Code, Jeremy Likness talks about creating next gen web applications using Blazor & Serverless with Azure. Jeremy shares his interest in Blazor. How to implement serverless using the Azure serverless platform that includes Azure Functions, Logic Apps, and Event Grid…
On this episode, David Pine (Microsoft MVP) shares his experience with TypeScript. David talks about why TypeScript is a valuable tool for improving your experience with applications that normally are written using JavaScript. We discuss how to compile TypeScript, what are its strengths and how to…
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