i was a hacker, then an engineer, then a scientist. ML only works if you "do the science". test different things and KEEP RECORDS. Constantly test hypotheses and look at the rate of change. Everything else is just guess work. you can get lucky, or you can get good and consistent.
I absolutely agree! It starts at understanding that IT'S NOT MAGIC then EDA where you test and reiterate on multiple hypotheses... then comes evaluation techniques which i think are OP
A full vid of 11 min of advice, which sums up at last and says, Taking advice from others should be approched with great caution !! XD Great vid btw :)
In a world of loss functions, your video is a series of local minima, each capturing moments of greatness inspired by unique experiences. These points of progress, shaped by data and lessons, guided by attention, feed the journey forward to the global minimum, propagating toward a true general representation in latent spaces.
I like that the video ends with Sam Altman speaking on the need to be cautious with taking advice from people and knowing what one actually wants, after the long series of advices
@@TimiEweoba lol because you've seen through the intended order in which the video was made! along with the second response I can see you're quite a perspicacious person
Business teams ask these kind of questions because they don’t know what ML can do. They don’t understand . It’s the job of PM who understands ML/AI to work with customers to understand what problems of the customer ML can solve.
While it is wise to learn vicariously from other people and consider advice from more experienced individuals... such thing should approached with cautious as each persons circumstances are unique. So my intent was to balance that out and have that last part act as a reminder
![The moment we stopped understanding AI [AlexNet]](http://i.ytimg.com/vi/UZDiGooFs54/mqdefault.jpg)
i was a hacker, then an engineer, then a scientist. ML only works if you "do the science". test different things and KEEP RECORDS. Constantly test hypotheses and look at the rate of change. Everything else is just guess work. you can get lucky, or you can get good and consistent.
I absolutely agree! It starts at understanding that IT'S NOT MAGIC then EDA where you test and reiterate on multiple hypotheses... then comes evaluation techniques which i think are OP
Teacher Andrew's advice about handwiting for recoding noted to our head seems great idea even it's like simple and dissapering tradition
A full vid of 11 min of advice, which sums up at last and says, Taking advice from others should be approched with great caution !! XD
Great vid btw :)
thank you so much! yeah well... last part is like a reminder :D
Data is the king 👑
In a world of loss functions, your video is a series of local minima, each capturing moments of greatness inspired by unique experiences. These points of progress, shaped by data and lessons, guided by attention, feed the journey forward to the global minimum, propagating toward a true general representation in latent spaces.
such a cool comment put in an elegant manner 🙏Thank you sir
Noted
plot twist: imagine this comment was by an LLM
LOL an LLM choosing Abdullah as a first name... that's a big stretch
I like that the video ends with Sam Altman speaking on the need to be cautious with taking advice from people and knowing what one actually wants, after the long series of advices
You a real one!
@@datasensei21 hmm “a real one”?
Is it because I watched to the end or because I commented like a real person and not like a bot?
@@TimiEweoba lol because you've seen through the intended order in which the video was made! along with the second response I can see you're quite a perspicacious person
Oh, thanks for the compliment
The handwritten piece of advice clip was wild lmao
we all know who's writing what in that clip ☠
@@rhymasharma Certainly they weren’t ML notes 😂😂
Look who’s back dropping videos on UA-cam! With consistency, you could totally take over the platform, man! ❤
This video makes me want to sit on my desk and code Transformer from scratch
God! The last advice was the best for ME so far
"Listening to advice from other people should be approached with great caution".
That "Sam Altman" thing at the End of all the advices!
hey, I just found your video by casualty, and wow!! Amazing content sir. I'll keep an eye on your channel.
@@SB17000 thank you so much I really appreciate the support!
Nice compilation. Keep it up.
thank you so much for the support, it's much appreciated
Thank you for this 🙏 I really needed to hear the big hitters say my feelings on ML out loud
Thank you ❤
this is such a cool video
gem of a mine of information
Thank you I'm glad you liked it!
nice video!, so useful
Thank you 🙏
machine learning could help with mac and cheese production.
this shit was hilarious
Hey man, great video. How did you do the subtitles btw?
Thanks man I used veed io
probably capcut
Arigato, Sensei.
Business teams ask these kind of questions because they don’t know what ML can do. They don’t understand . It’s the job of PM who understands ML/AI to work with customers to understand what problems of the customer ML can solve.
was that part on handwritten notes a death note clip?
Yes it was
Is there any good site to read research papers from? I really want to start reading them. Let me know if u know.
consider sciencegate it's a good site
@@datasensei21 ok thanks👍
Death Note.
And the ending kind of negates the video, haha kidding.
I am going to take the notes from this video in a Death Note 😂
@@tuhin1264 LOL go at it Kira 😂
we got ML engineer motivation edits before gta 6
@@areelkhan4004 LOL
Amazing ❤❤
Thank you brother I appreciate it
Cool
can u provide me name of backgroung music please??
00:00:00 Satie gymnopedie 1
00:01:20 Epic Action Cinematic by Infraction
00:04:06 Cinematic Tense Intro Teaser by Infraction
00:05:22 Epic heroic trailer by infraction
00:06:14 Diva song - Blood +
00:06:55 Journey to the stars
00:08:17 Chasing the dream
00:08:46 Epic Action Cinematic by Infraction
00:10:07 (original guitar piece i made)
nice video bro
Thank you buddy 🙏
video title: how to learn ml
video: death note
LOL
11 minutes of advices, and then the last advice is to not listen to advices, hhhh perfect timing.
haha I guess the moral is to be cautious enough to filter out what advice would work best for you :D
Ending basically said we shouldn’t have watched this video at all haha
Thanks for watching til the end ;D
the ghiath effect on sub not good bro let him simple
Thanks for your feedback brother!
The best advice is the last advice.
I am learning ai
@@HafizBilalattari-o9h that's great initiative keep up the good work 👍
why death note in machine learning algorithms ??😂😂😂😂
It's a social experiment to see who would recognize it 😂
@@datasensei21 😂next time AOT
@@Mk-ss7fu LOL hmmm interesting suggestion
The last one just ruined the whole purpose of the video
While it is wise to learn vicariously from other people and consider advice from more experienced individuals... such thing should approached with cautious as each persons circumstances are unique. So my intent was to balance that out and have that last part act as a reminder
I watched this video and successfully applied ML to macaroni and cheese 🙏🙏🙏