Machine Learning Made Easy – An Introduction to ML.NET

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Are you a .NET Developer who has always wondered what the ML and AI hype is all about? Do you want to get involved in the community and utilize ML algorithms to make your application smarter? Watch this session for a deep dive into the cross-platform open-source repository of ML.NET!

We touch upon what Machine Learning is, and how it can make our applications smarter. What ML.NET is, and why we should be excited. What some ways are in which we can make our trained models operational. Deep Learning in ML.NET. Beware, there's live coding.

1:08 - ML.NET
6:25 - Machine learning/deep learning
16:05 - ML workflow applied to ML.NET
26:50 - Demo

This webinar was part of JetBrains .NET Day Online 2019.

#machinelearning

About the Presenter, Alexander Slotte
Originally from Sweden, Alexander has 10+ years of professional software development experience, solving problems for a wide range of industries. He currently works as a Lead Consultant at Excella, and is the organizer of the .NET DC User group. He thoroughly enjoys speaking at conferences and local Meetups. He is passionate about .NET and cloud development and constantly attempts to push his knowledge on real time data streaming, data science and machine learning. When not coding, you'll find him out running or enjoying a good IPA!
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I there is a mistake in this video. line 38 should be using test set not training set.

andrewwerner
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Great presentation. If the sound quality was better, it would be a perfect intro to ML.Net. Please continue with more sophisticated examples and more complicated cases.

payamism
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I agree with Preveen ... source and data (mainly) would be incredibly beneficial/appreciated.

jrandallsexton
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Is the diagram at 13:38 correct? My understanding is that every neuron in a layer is connected to all the neurons in the following layer. The diagram shows the input layer neurons only connected to two of the three hidden layer neurons.

jimatsydney
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oddly, at 39:57, it wouldn't let me pass my inputColumnNames params same way as this video. Using params keyword gave me an error. I ended up creating array of params above where they are being used and passing them in.

andrewwerner
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Audio kills and otherwise good presentation

darkphotn
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Please share slides and data source(Titanic) used in Demos

praveenraghuvanshi
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hi,
thanks
please share with us the source code

mohammadhosseinnezhadhendi