@the.synthetic.mind: In this video, we build Gaussian processes from scratch, starting with the idea of a joint bell curve over two points. We then introduce the kernel and the prior over functions, showing how to condition on data and learn hyperparameters. Finally, we explore Bayesian optimization and the method's inherent limits. #GaussianProcesses #MachineLearning #BayesianStatistics #DataScience

The Synthetic Mind
The Synthetic Mind
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Region: CA
Monday 05 October 2026 14:43:33 GMT
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user3627266472
user5637152944253 :
This was without a doubt one of the clearest explanantions of any data science or statistics concepts I've ever seen. Concise but has the depth and detail where it matters + clear and informative graphis. Well done.
2026-10-05 20:56:24
546
ningningningning2214
智燕琳 🥥🌴🍹 :
does this also get used in quantum mechanics?
2026-10-07 12:16:25
0
gregor.software.en
Gregor :
This is almost the essence of a whole statistics course in under 5min. Great for recap 🙏!
2026-10-05 17:35:04
154
patalogos
cuenta.me :
God is awesome
2026-10-05 18:00:46
20
xddgigachad
xdd gigachad :
im not trying to be competing with you but i wonder how did you prompt to create such vid i need them for my students 🥺
2026-10-05 18:03:16
7
mosiah07
mosiah :
on top of that, you are working with data at a point under the assumption that it's a true value yet it's also prone to sampling errors. the uncertainty keeps pilling up.
2026-10-06 06:18:36
8
misho9000
misho9000 :
Thank you very much for this well done video!👍 I need to rewatch it again when my brain isn't cooked after work. Just leaving this comment here as a reminder.
2026-10-05 20:13:36
13
sentaaiii
sentai :
Like path of least action in quantum mechanics
2026-10-05 16:25:21
17
halfprize
halfprize :
Well done. I’m a big fan Gaussian processes.
2026-10-05 19:17:55
8
msmtech8
msmtech :
💯So clear
2026-10-07 12:25:52
0
barbous
~~ :
If only teachers used this type of strategy to teach us… everything was so theoretical and apparently useless…
2026-10-07 07:39:39
1
feebsfeebsfeebsfeebs
c :
I was drilling burr holes as an intern
2026-10-06 04:11:52
2
maksssior
maksssior :
🥰🥰🥰🥰 excellent video
2026-10-05 16:19:11
2
jamiefox873
drylynn :
i dont understand
2026-10-06 00:34:49
2
drslotermeyer
drSlotermeyer :
Beautiful
2026-10-05 15:27:12
9
sallymusicmusic
sallymusic :
me thinking of all the gold borehole "donors" get as clueless villagers thank them for "water 😂
2026-10-06 06:42:02
1
ningningningning2214
智燕琳 🥥🌴🍹 :
Is this concept used in quantitative analysis?
2026-10-07 12:18:56
0
ningningningning2214
智燕琳 🥥🌴🍹 :
is this similar to Gaussian splatting?
2026-10-07 12:25:16
0
gregor.software.en
Gregor :
Computational cost of the covariance matrix grows quadratically with the samples though.
2026-10-05 17:45:35
3
mosiah07
mosiah :
that's why in exploration we call our models mineral resource estimates(loud on the word estimate) that uncertainty is where risks lie when investing in mining projects, you will always overestimate or underestimate.
2026-10-06 06:15:32
1
runrunlauren
Lauren Hayward :
it's pronounced "krig-a" with a rolled G
2026-10-06 06:30:29
1
klaydane
klaydane :
Im gonna implement GPR in my master thesis and you helped me so much understanding it thx
2026-10-05 19:50:18
1
gusthecook
Gustavo Cruz :
yes
2026-10-06 09:53:32
0
the_billionair_eguy
the billionaire guy :
brilliant
2026-10-06 07:42:07
0
tonarch64
tonarch :
Gauss was a real one for this
2026-10-07 06:07:39
0
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