S201 - Machine Learning in .NET (ML.NET)

Ankit and Gal will share some of the latest features in ML.NET, the machine learning library for .NET.

[simonhaykin]

This is a great introduction for machine learning with .NET, loved to the see the use of C# for machine learning. Great job Ankit!

[Saanvi]

Great job guys. After seeing your demo and informative videos I am seriously interested in Machine Learning. Thanks a lot

[manojb]

At 33:30, the recommendation percentage for home alone 3 was 31% in spite ankit liking home alone! Why is that?

[ileve]

Very good video.

Especially interesting the last part with fluent API.

My recommendations for the next demos.

1. Fine tuning training parameters with fluent API. Generally a more detailed usage of fluent API. Keep going with Fluent API, it's awesome.

2. Cross validation usage for specifying the optimal number of hidden layer neurons in a neural network. Does ML.NET implement neural networks, with backpropagation training algorithms? I see only SVM.

3. ML.NET combined with TensorFlow and CNTK for training. I know it is not available yet.

[ozgurakpinar_gr]

24:48 Does the name Cesar refer to César Souza? :D

[funml]

Recommendation n TensorFlow wohooo... love it!

[touchyungan]

Can I build ML.Net with Visual studio 2013?

[juniordevops]

You don't show yours Twitter account :( i cannot find you. could someone give me hand tip?

[ivandrofly]

it's a bit confusing, the api has been changed now

[shrinkhlashrivastava]

For Ankit it is not recommending home alone 3 although he likes home alone...