QuantMachineLearn
Region: DE
Tuesday 15 September 2026 19:26:16 GMT
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allllahnatrevellllah :
actually in reality we have Least Squares Method, that can solve this problem without iterations, just one formula for w and b
2026-09-19 05:11:46
1
shanidani3030 :
I didn't understand I think I'm stupid
2026-09-17 19:39:05
10
oop :
Truly all AI is just weights and people think it has actual mind 😭
2026-09-17 16:47:05
209
Smart Education :
from scratch but I don't understand anything
2026-09-18 03:46:18
0
bichi :
is this a LMS?
2026-09-18 21:42:22
0
Audio Producer :
I've spent years preparing for zombies... and we get machine epocalypse instead 🤖🧟♂️
2026-09-17 07:30:24
17
GZX :
you are machine learn enginner
2026-09-17 20:05:27
0
sallymusic :
the only man to impress me is the man that explains collaborative filtering with pure language constructs
2026-09-17 21:23:44
1
Rodrigo Taborda :
Waste of time. No ML here, there is a 200 year old concept, linear regression, one single formula. There is also a concept, more simple, an average.
2026-09-17 19:30:29
10
Nathanʕ´• ᴥ•̥`ʔ :
looks something like curve fitting
2026-09-17 20:19:00
1
Helmutpirthauer :
Great visualization of gradient descent! For comparison, w, b = np.polyfit(xs, ys, 1) computes the least-squares fit directly—nice way to check the learned result.
2026-09-16 02:09:47
21
szalony_Reporter :
this is not machinę learning
2026-09-16 04:28:19
4
vortex.amv :
I did a similar program. why are you dividing the derivatives by len(xs)?
2026-09-17 18:55:47
5
lvoltamol :
Cool shiit🔥🔥🔥🔥
2026-09-18 08:44:00
2
Founes :
newbee here, not sure to understand. is w equals the slope and b the y-intercept. if not how do draw the line on each iteration ?
2026-09-16 10:17:29
2
Adez :
I love this
2026-09-17 21:24:38
1
carbonara_friend :
could you explain better the dw and db formula? why divide the error by the number of x, and why *2?
2026-09-16 19:01:30
2
almanotiktok13 :
i got that Linear Regression is the training part, but whats the gradient decend?
2026-09-17 22:50:44
0
_B14NK :
he cooks
2026-09-17 13:41:53
1
Mattì V :
It looks like that line represents the average of the points, so what is there to learn from that?
2026-09-16 19:06:39
3
burlingtonbertie :
is this used in back propagation?
2026-09-16 16:15:41
1
Joe :
Wonder if they even understand it themselves
2026-09-16 21:09:20
3
Pavel :
Yes and if you try to use the same method to find a minimum of a function you can stuck on local minimum and demonstrate hallucination :).
2026-09-17 03:08:00
1
Marwan Ghabban :
هذا الانحدار الخطى
2026-09-18 07:59:35
0
Arjun Acharya :
Great.Could you please upload whole series so tha I could learn from 0 level.
2026-09-18 03:30:53
0
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