Neural networks with continuous output | ANN vs Regression

www.tilestats....
1. Simple linear regression vs ANN (01:07)
2. Multiple linear regression vs ANN (08:08)
3. Nonlinear regression (08:46)
4. Nonlinear ANN with a hidden layer (09:46)
5. Validation and overfitting (14:11)

[@meshackamimo1945]

the best explanations for regression and neural networks to a non-expert statistician. thanks for posting

[@meenagr2789]

i have never seen such a good example before....

[@klam77]

FANTASTIC explanation. Thank you.

[@williammartin4416]

Thanks!

[@tilestats]

Thank you!

[@pedropaixaob]

Great explanation!

[@mohamedeltarkawe9396]

Super helpful, thanks a lot.

[@stevencaramoy2043]

Such good explanation for the beginner like me

[@GulnazShalgumbayeva-d8i]

excellent!!!!

[@dawitmusse3548]

At 11:00 how are the weights optimised, please?

[@tilestats]

Have a look at this video, where I explain how the weights are optimized:
ua-cam.com/video/XxZ0BibMTjw/v-deo.html

[@dawitmusse3548]

@@tilestats Thank you so much, sir!

[@miguelchiri8895]

What book can I find this in?

[@tilestats]

I have not used any book but you can buy most of the videos as PDFs on my home page: www.tilestats.com

[@miguelchiri8895]

@@tilestats I'm looking for bibliographic references on this topic but so far I haven't been able to find any. :(