Practical Machine Learning for .NET Developers

Session:
Machine Learning is a hot topic nowadays, but still the learning curve is quite steep for the .NET developers. You have to know at least Python or R and some math to get started.

And this was true until few weeks ago Microsoft released first beta of ML.NET framework: open source and cross-platform machine learning framework for .NET. Now every .NET developer can start playing with ML by just writing few lines of code in C# and having zero previous experience with ML. And this new functionality can be easily added to any existing application.

In this talk you will get a brief introduction into the pure practical problem we are going to solve with Machine Learning, the proposed solution to the problem, tools we are going to use and describe the basic ML terminology that will help us. And then you will see the actual implementation using only C# and ML.NET.

Speaker:
Alexander Dragunov currently works as IT consultant in the Stockholm based company Active Solution. He always curious about all cool things happening around him from modern web development to all Azure related topics. Originally from Saint-Petersburg, he lives in Stockholm for the last ten years with his beautiful wife and their three kids. Besides working and spending time with his family, he loves to travel around the world with his camera and so far has been to over 50 different countries.

Agenda:
17:30-18:00 food
18:00 session starts