AI/ML+Physics: Recap and Summary [Physics Informed Machine Learning]

[@sakshmsharma5005]

Please don't ever stop educating

[@luffyorama]

This is so good that I can't believe that we can get this type of knowledge for free!

[@shrirangbondale2263]

It's not free, it has high value for me and many more like me... It requires no money but it is not free

[@Anorve]

You know that you are watching a Steve Brunton video when it starts with 'welcome back' and finishes with 'thank you'

[@Lenticchia2011]

An idea is emerging from these inspiring videos: the ML community is a dynamical system "per se", that is exploring and exploiting the space of domains and solutions to minimize their loss. I would ask to myself: "wich is my gradient?" . Tks Steve !

[@azeemishaq8240]

i realy enjoyed machine learning for physics and we want more videos for it we believe its not the last one actually we want more on this topic

[@patriot-q3u]

dr brunton, you saved my ass when I was a CS student who was thrown into an industrial robotics position and had no clue about physics/mechanics. thanks for all your videos!

[@zamorafloresguillermoarman6437]

Hi Steve, I'm reading your book data sciense. The book is very good. I love it, your videos is very amazing. You are so amazing. Saludos de México 🙏🇲🇽

[@antonispolykratis3283]

You are amazing too.

[@Eigensteve]

Thank you!

[@alekseibuinyi]

Nice flow, and awesome explanation, thank you.

[@Eigensteve]

Thanks for watching :)

[@videos-de-fisica]

great video thank you steve bry the ml guy

[@psychii678]

shoutout operator learning man so inspirational

[@waynelast1685]

great stuff

[@mohammaddmour9127]

I wonder what is the future of the mechanical engineer in the presence of machine learning and artificial intelligence?? ❤❤

[@glennedgar5057]

Well done. Thank you