What is t1,t2..tn.. are these different instance of target variable? If so why each has different distribution. Are you assuming these categorical target variable and each has it own distribution? This part is confusing me in all the videos.
Hi, hope you're doing well I have a question Are graphical models the same as multivariate dataset? I'm a bit confused🤔 What's the difference between these two? I'll be very thankful if you answer me. Thanks in advance🌺
Hello Nastaran, The word multivariate simply means that there are more than one (dependent) variables involved in your modeling/experiment. These variables may be independent of each other and/or may be correlated. Graphical model term when used in the context of probabilistic modeling primarily specifies how one variable depends (conditions) on another variable(s). Because the primary purpose of the graphs will be specification of conditioning, mostly your graphical models will deal with a multivariate dataset. Now graphical models are not the only way to deal with multivariate dataset. You could use many other ML techniques to do so. Hope this makes sense.
@@KapilSachdeva Hi, hope you're doing well. Sorry I have a question. Is there any multivariate dataset in the internet that the variables are labeled?!!!!! As far as I've checked the multivariate dataset that I've seen, are labeled based on observations( for example observation 1 suffer from cancer, 2 do not and....) Now I want the variables have lables. Is there any data set? I'll be bery thankfull if you help me as always. Thanks in advance🌸
I think what you are asking for is "multi-labeled" dataset and not necessarily multivariate. A multi-labeled dataset could still be multivariate. See if this describes what you are after - en.wikipedia.org/wiki/Multi-label_classification For educational purposes, you can build yourself a toy multilabel dataset using scikit-learn scikit-learn.org/stable/modules/generated/sklearn.datasets.make_multilabel_classification.html I found one page with list of various multi-label datasets but I have never used them. www.uco.es/kdis/mllresources/
I would say, please keep making videos, you dont know but it helps a lot of people
🙏 Thanks Tarun!
@@KapilSachdeva Kapil could you explain why we need this?
Great presentation, thanks!
🙏
@@KapilSachdeva I am reviewing a paper that employs plate models. Had to learn about it quick. :-)
thank you so much Sir.. please sharing - such simple and yet intuitve understanding , especially for complicated concepts... :)
🙏
What is t1,t2..tn.. are these different instance of target variable? If so why each has different distribution. Are you assuming these categorical target variable and each has it own distribution? This part is confusing me in all the videos.
Good video thanks
🙏
Hi, hope you're doing well
I have a question
Are graphical models the same as multivariate dataset?
I'm a bit confused🤔
What's the difference between these two?
I'll be very thankful if you answer me.
Thanks in advance🌺
Hello Nastaran,
The word multivariate simply means that there are more than one (dependent) variables involved in your modeling/experiment. These variables may be independent of each other and/or may be correlated.
Graphical model term when used in the context of probabilistic modeling primarily specifies how one variable depends (conditions) on another variable(s). Because the primary purpose of the graphs will be specification of conditioning, mostly your graphical models will deal with a multivariate dataset.
Now graphical models are not the only way to deal with multivariate dataset. You could use many other ML techniques to do so.
Hope this makes sense.
@@KapilSachdeva thanks a lot
Your explanations are very clear, I got the answer of my question.
🌺🌺🙏🙏🌸🌸
@@nastaranmarzban1419 🙏
@@KapilSachdeva Hi, hope you're doing well.
Sorry I have a question.
Is there any multivariate dataset in the internet that the variables are labeled?!!!!!
As far as I've checked the multivariate dataset that I've seen, are labeled based on observations( for example observation 1 suffer from cancer, 2 do not and....)
Now I want the variables have lables.
Is there any data set?
I'll be bery thankfull if you help me as always.
Thanks in advance🌸
I think what you are asking for is "multi-labeled" dataset and not necessarily multivariate. A multi-labeled dataset could still be multivariate.
See if this describes what you are after - en.wikipedia.org/wiki/Multi-label_classification
For educational purposes, you can build yourself a toy multilabel dataset using scikit-learn
scikit-learn.org/stable/modules/generated/sklearn.datasets.make_multilabel_classification.html
I found one page with list of various multi-label datasets but I have never used them.
www.uco.es/kdis/mllresources/