Machine Learning for .NET Developers Introducing ML NET

[@irlonterblanche1639]

Unbelievably awesome presentation!! For beginners, start with this one. Don't even bother searching for other videos to get you started!

[@Atmosera-]

Thanks!

[@hakeemojulari7392]

Jeff handles this like a lecturer. He teaches as if he is owner of the product. Thanks Jeff.

[@suckmybat]

What an amazing presentation Jeff, thank you so much for the time and effort you went to on this. It answered a number of questions I had going in. I must say you are a great presenter, theres no umming and ahhing and stumbling about as you find with so many other presenters, the content was concise and to the point. Highly recommended

[@srajasekar0104]

Unbelievable. Learnt MFC from your book. Glad to be watching this video.

[@tikemyson1679]

you can imagine how helpful your video is for me. Best video abut ML.NET! Thank you!

[@NatthapolVanasrivilai]

Great content. Very on point and clear explanation 👍🏻👍🏻

[@RadioStarZombie]

Thank you Jeff, clear and informative!

[@georgevendras5450]

Great lecturer!!! Thanx a lot for your time to prepare this course!

[@MrSubZeron]

Thank you soo much for the great work. As a beginner, I learned a lot from you. God bless.

[@tzarcoal1018]

58:12 I am a bit curious why the digits go from 0 to 16, not 0 to 15 as you would expect, what is up with that?

[@TrusePkay]

Today, I feel that a more appropriate language to use for data science and machine learning on .net is F#, and not C#, F# is an object-oriented functional language, is more succinct, has more features, supports function signatures like Scala and is looks to Python.

[@avipatel1310]

Thank you for the video, very clear. Also a request, can you share the data set that you have used. :)

[@defaultname1700]

Best ml.net video out there

[@Kapoor0606]

thanks for the video. very clear demo.

[@Atmosera-]

You are welcome!

[@menakasattmann5335]

Great Video. Thanks

[@hervebenganga8561]

very clear. Thank you

[@zombiestrange6475]

My ide cannot resolve the method Ols(). Any idea why it may be? I am using Rider with .Net6. My Microsoft.ML version is 2.0.0-preview.22313.1

[@tzarcoal1018]

Thank you so much!! This videos is incredible and really helpful.

[@humble_integrity]

thank you for sharing!

[@mariosissa3508]

Can you please explain why does the concatenate function needs all the column to be the same type!? how are we supposed to treat diffrent data types?

[@zulhishamtan4308]

awesome explanation

[@gintarassvalbonas]

Very nice tutor, thnx very much.

[@GrebirfSnej]

When I try to writ this, I only find LbfgsPoissonRegression, Sdca and OnlineGradientDescent. The other Trainers are missing. Do I need to add something more to get access to them?

[@bankashvids]

Hi Jens, I resolved this issue by adding a package: dotnet add package Microsoft.ML.Mkl.Components --version 1.5.0 It can be found referenced in the cs project on the author's Github.

[@miliu99]

I see the same problem...Did you get an answer?

[@lukemcdowall2690]

I was wondering if ML.NET could do multi label classification?

[@chrismcclure4264]

Great demo. There was mention of a Github repo. I don't see the link in the comments. Anyone have a link for it?

[@Atmosera-]

It's right here: github.com/jeffprosise/Machine-Learning

[@chrismcclure4264]

Thanks! You're the best

[@chrismcclure4264]

@@Atmosera- I did find this one online. IT seems to have more ML stuff in case anyone else cares: github.com/jeffprosise/ML.NET

[@defaultname1700]

does the load column on the in put have to correspone to the column on the csv? like loadcolum(1) line up with the first column on the file?

[@georgealbo]

Dear sir, how to speed up the prediction of ML.net , i am using the trained Model and it took 10 seconds to identify Object , is there any solution or tutorial for this issue , in need the prediction to be less than 0.5 second

[@mariosissa3508]

Thanks man! helped me a lot!

[@georgealbo]

can i do Face detection and recognition using ML.net thanks in advance

[@FlorianWachs]

Amazing! Great!

[@hrishikeshgarud7177]

Where is csv file link?

[@charlesstacyharrisiii2593]

Code and data are here: github.com/jeffprosise/ML.NET

[@码农乱弹]

Actually ML.NET is capable to do deep learning, it's just not exposed these low level APIs to public.

[@teoman4664]

horrible quality of voici, guys, we are in 2023