Very well explained as a whole. Started nicely with the basics and covered pretty much all the important stuff. Out of all the UA-cam videos, this is the one I would recommend people to watch. Nicely done!
awesome video and amazing explanation ! Note: should have used different symbols(letters) for the parameters (w1,w2) as classes and (x) for weight it's confusing since w is the first letter of weight, i kept getting confused during the video.
Very well explained as a whole. Started nicely with the basics and covered pretty much all the important stuff. Out of all the UA-cam videos, this is the one I would recommend people to watch. Nicely done!
awesome video and amazing explanation !
Note: should have used different symbols(letters) for the parameters (w1,w2) as classes and (x) for weight it's confusing since w is the first letter of weight, i kept getting confused during the video.
Best explanation of Bayes Decision Theory, Thank you
Amazing video! Soo helpful, thank you so much. Videolarınız için çok çok teşekkürler hocam, çok faydasını gördüm..
Thanks, very clearly explained!
Great explanations, thanks
The absolute best explanation
Man you teach beautifully.
Thank You, great and helpful video! Only complaint would be the audio.
Very useful video for those who are beginner in ML.
Very nice! Thanks!
perfect explanation right at the point
Can i give this video a thousand likes! Excellently explained from scratch !
Thanks man !
Thank you so much, Sir
Nice explanation but @34:46, in the expression of g(x) the first term should be (miu)^t / (sigma)^2 instead of (miu)^t /2* (sigma)^2. please check
Thanku😄
Thank you
nice to meeet you! are you living in Turkey? if yes, where? are you open to private lessons? about these type of theories
Its very hard sir to understand !!