#50 Radial Basis Functions with Example |ML|

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Your flow is excellent i can feel the quailty of content in just 57 seconds

suryas

Great video mam u r earning blessings of students.. something good will happen with u in ur life..u r great ma'am.. thanks a lot

HelloWorld-dupf

Thankyou so much for explaining this Function when I had a Look in my book about RBF i was baffled after seeing you making it understand within 9 mins by keeping it short this topic became more clearer to me.

shibinabraham

Amazing teaching and explaining skill u job god bless

Vinaykumar-bxql

Mam your videos helped me a lot during my exam..
Thankyou So much

neerajkumarverma

you made my preparation easier..
the whole instance based learning concept i have learned by watching your vedios

SravaniNandurii

mam can u explain these topics: Computational learning theory – Introduction, probably learning an approximately correct
hypothesis, sample complexity for finite hypothesis space, sample complexity for infinite
hypothesis spaces, the mistake bound model of learning.

webtech

Thank you very much for helping us during our exams

rupa

It really helped a lot 🙂
Thank you for all the videos ☺️

a_k_k_i

Nice explanation of concept. But it'd be better if you take an example and solve it from the starting ti end So that we understand it better.

fawazhussain

It is very helpful for our exams mam, thank you

japala_nikhil

I having soft computing exam next month last, so can you put specifically for that

Bhuvaneshscout

Exapination clearly and understanding nicely.. can you explain about computational learning theory

SaiSrishma

Ma'am can you talk about Interpolation problem for Radial Basis Function?

jacobsanoj

Thank you so much...For research purposes, please recommend a good book for the deep comprehension of the kernel trick

riadelectro

Ma'am I have my exam in the month of December. Please upload all the videos of ml related to my syllabus. I am from Kiet group of institutions, Ghaziabad.

akankshaa

Please make a video on Self organizing feature maps and Learning vector quantization
focusing a bit more on theory

kunaldesarda

Hats off mam My mam is coping your notes and explaining us in classroom😂😂😂

rohanmudhiraja

Ma'am please explain
Clustering: Unsupervised learning, k-means, K mediods, adaptive hierarchical clustering, and Gaussian mixture model.
VMEG R-19, machine learning with python
Exam date: 2-12-2021

kashapogurajavardhan

in the end I couldn't understand how those three functions at the end were helping to resize our data.

anurondas

#50 Radial Basis Functions with Example |ML|

#50 Radial Basis Functions with Example |ML|

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