Great very informative and easy talk - thank you very much! I especially liked the clear definition of Machine Learning and comparison with Statistics and Data Mining. I am teaching Machine Learning now at Boston University and plan to use some of your examples and explanations.
This is a very good introduction. I now have a better handle on this area although there will be lots of discover. I like how experience is imparted in the presentation. Many thanks for publishing this online.
Similar to independent variables i.e., if I have a simple set of data, (x1, y1), (x2,y2),...,(xn,yn) and I want to find a function f such that f(xk) = yk then you can really think of the features as independent variables, but they dislike using the term especially in classification problems.
It is quite remarkable how well you capture the key points in a very simple way. Well done and thank you!
This is first video from which I just understood what is Machine Learning. Thank You
Great very informative and easy talk - thank you very much! I especially liked the clear definition of Machine Learning and comparison with Statistics and Data Mining. I am teaching Machine Learning now at Boston University and plan to use some of your examples and explanations.
This is an amazing description of machine learning. Thank you!
Ron, my first real venture into understanding Machine Learning. Thank you. Love the SVM handwriting example.
Very cool. I especially liked the features of digit identification around 34:00
This is a very good introduction. I now have a better handle on this area although there will be lots of discover. I like how experience is imparted in the presentation. Many thanks for publishing this online.
Wonderful introduction to machine learning for beginners. Really liked it. Thank you.
Thanks for uploading. I didn't think that the basketball example was silly. It was simple enough to understand.
Machine Learning for Dummies. Great presentation and very easy to follow. Thank you.
Excellent, easy to follow and understand
Excellent intro to Machine Learning
Really a good start for machine learning, which is my interested area
Great talk - very easy to understand. This guy reminds me of Massimo Vignelli
SVM - best explanation ever!
That´s a good introduction for beginners. I´ll share with my colleagues.
I love this guy. he's so engaging and funny.
Good and simple introduction to Machine Learning.
Excellent talk! Thank you very much!
Very great introduction! THX!!!
Exactly what does he mean by "features"? Are they just column labels for data instances?
Similar to independent variables i.e., if I have a simple set of data, (x1, y1), (x2,y2),...,(xn,yn) and I want to find a function f such that f(xk) = yk then you can really think of the features as independent variables, but they dislike using the term especially in classification problems.
feature is a another word for one characterisc of an object; like weight or height are features of a man
Amazing speach and explanation, thank you so much sit!!!
Great overview, thanks!
Excellent talk.
seriously wow ... what a great lecture
Great overview of Machine Learning. No voodoo here!
A great resource for beginners
Good explanation for a beginner.
so simply explained, thank you
really good,thanks for sharing
Really good introduction,Thank u .
Support Vector Machine at 25:03 :)
Very good explanation
Amazing Talk!
Everyone loves SVM :)
thanks for sharing "LinkedInTechTalks"
Where's the voodoo
this guy looks like stuart from the big bang theory LOLOL
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vos sos un campero