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1. Can Machine Learning Help YOU Do Machine Learning? (Brian Battah)
A novice sacrifices himself in front of the group via a near hopeless demo to help everyone decide whether or not Azure Automated Machine Learning lives up to the hype and is worth exploring further
2. Refit API Client (Cory Hahn)
The automatic type-safe REST library for .NET Core, Xamarin and .NET
3. The Road to Hell is Paved with Good Intentions, and Algorithms (Steve Nosan)
Computers and algorithms have made our lives significantly easier, from discovering new music through Spotify’s Discover Weekly to finding job candidates with ZipRecruiter. But are the algorithms that power these applications really good? There may be a monster lurking underneath the covers of these algorithms. Come listen to how data science isn’t necessarily making the world a better place but rather how it’s making disastrous impacts on peoples lives and society as a whole.
4. Intro to Polly, a .NET resilience and transient-fault-handling library (Alan Barber)
5. An overview of coding bootcamps (Katheryn Humphries)
6. SQL for Developers (Aaron Petry)
Developers love to gripe about SQL. It's too slow. It's too complicated. It's not my native development language. I'm here to help. The problem a lot of developers have with SQL has to do with the fact that they want to think about rows, not columns when they're thinking about operations. It's a slightly different approach, more akin to functional programming that OOP. If you've ever found yourself beating your head against the desk when you have to write a query for your application, let me show you a few tips and tricks to make it all a bit easier. I'll be focusing on MS SQL in this talk, but there are some generalizations that carry over to other relational database systems.
7. Mentorship (Arsalan Ahmed)