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
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.
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?
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.
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
Unbelievably awesome presentation!! For beginners, start with this one. Don't even bother searching for other videos to get you started!
Thanks!
Jeff handles this like a lecturer. He teaches as if he is owner of the product. Thanks Jeff.
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
you can imagine how helpful your video is for me. Best video abut ML.NET! Thank you!
Unbelievable. Learnt MFC from your book. Glad to be watching this video.
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?
Thank you soo much for the great work. As a beginner, I learned a lot from you. God bless.
Thank you Jeff, clear and informative!
Great lecturer!!!
Thanx a lot for your time to prepare this course!
Great content. Very on point and clear explanation 👍🏻👍🏻
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
Best ml.net video out there
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.
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?
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.
I see the same problem...Did you get an answer?
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?
Great demo. There was mention of a Github repo. I don't see the link in the comments. Anyone have a link for it?
It's right here: github.com/jeffprosise/Machine-Learning
Thanks! You're the best
@@Atmosera- I did find this one online. IT seems to have more ML stuff in case anyone else cares: github.com/jeffprosise/ML.NET
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
very clear. Thank you
Thank you so much!! This videos is incredible and really helpful.
I was wondering if ML.NET could do multi label classification?
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?
thanks for the video. very clear demo.
You are welcome!
Great Video. Thanks
Thank you for the video, very clear. Also a request, can you share the data set that you have used. :)
can i do Face detection and recognition using ML.net thanks in advance
awesome explanation
Very nice tutor, thnx very much.
Thanks man! helped me a lot!
thank you for sharing!
Amazing! Great!
Where is csv file link?
Code and data are here: github.com/jeffprosise/ML.NET
Actually ML.NET is capable to do deep learning, it's just not exposed these low level APIs to public.
horrible quality of voici, guys, we are in 2023