Пікірлер

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  @iTzTomy04Ай бұрын

  You’re my guardian angel

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  @siddharthvarshney17103 ай бұрын

  Does this enable older designers to show the AI an image of their hand-drawn designs and get a STEP or IGES encoded 3D file for use in applications? I am looking for a use case where mixed reality headset cameras can capture image information and process it into a shareable 3D format!

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  @Anandhu-X4 ай бұрын

  4:37 Say if the p(X=4)=0.5 What is the interpretation of this exact statement? Could it be that the probability of x occurring arbitrarily close to 4 is 50%?

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  @Anandhu-X4 ай бұрын

  Thank you

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  @parmisbathaeiyan99557 ай бұрын

  You’re my guardian angel

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  @greyreynyn7 ай бұрын

  AHH!!! I’ve been trying to find more content from you since you left Talking Machines for years!! So glad I finally found this! I wonder how to fix the squeaky pen 🤔

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  @nivethanyogarajah1493 Жыл бұрын

  Very nice intuition video with the perfect amount of math!

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  @nilothpalbhattacharya8230 Жыл бұрын

  Really well explained

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  @tan-uz4oe Жыл бұрын

  I'm wondering about the importance sampling. If I understand correctly, we need both pi(x) and q(x) pdfs to use IM. But shown in the previous video "COS 302: Pseudo-Random Numbers", we can draw samples for any arbitrary pi(x) using the CDF + uniform rand trick. In that case, why wouldn't we use the trick with pi and draw from pi directly? I know there are cases where IM is useful, especially in ML/RL for learning or estimating some expectation from _offline data_ . But I can't see the reason why we choose to _sample_ from q instead of pi when we have both pdfs. What am I missing?

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  @intelligentsystemslab907 Жыл бұрын

  There are two reasons: 1) if you only know pi, computing the CDF still requires an integral, which is what you're trying to avoid, and 2) importance sampling generalizes straightforwardly to multiple dimensions, where as inverse transform sampling is much trickier.

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  @mr.p2665 Жыл бұрын

  Underrated channel

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  @raideryvs5595 Жыл бұрын

  Great explanation !

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  @mohammadpourheydarian5877 Жыл бұрын

  Very beautiful. Thank you.

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  @melontusk7358 Жыл бұрын

  Just brilliant.

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  @DrScaryShow Жыл бұрын

  Awesome. Thank you.

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  @ZauberRay Жыл бұрын

  Excellent explanation!! Thanks

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  @nightlessbaron Жыл бұрын

  How does this whiteboard works?

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  @yannickpezeu34192 жыл бұрын

  Thanks

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  @CarlJohnson-jj9ic2 жыл бұрын

  Is the ground truth set weighted by a average, max, common, rare, gravity, edges, node distribution or what?

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  @annapieroni18652 жыл бұрын

  Thank you for the very clear explanation! I never took a stats class, so online resources like this help me survive upper division CS and ME classes. Much needed for fluids labs and speech processing!

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  @alexpablo902 жыл бұрын

  Thanks so much, I like how you explain

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  @dialaabdrabbo77252 жыл бұрын

  Thanks so much, nicely explained!

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  @galileo34312 жыл бұрын

  PLEASE use another pen, I can't finish the video. Great explanation anyways!

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  @kanishkgarg4232 жыл бұрын

  Thanks a ton!! It wasn’t only intuitive, you explained what is in the book with the exact notations which makes it easier for me to go back and solve problems there.

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  @kanishkgarg4232 жыл бұрын

  Amazing lectures!! I assumed that i will flunk my class before I watched these. You somehow make it sound simple. Thanks a lot

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  @Sam123456322 жыл бұрын

  I frickin love you man.

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  @Sam123456322 жыл бұрын

  These videos are so amazingly awesome!!!

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  @mahdijavadi27472 жыл бұрын

  loved it thanks !

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  @vi5hnupradeep2 жыл бұрын

  Thankyou so much 💯

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  @KeyserTheRedBeard2 жыл бұрын

  astonishing video Intelligent Systems Lab. I shattered that thumbs up on your video. Keep up the very good work.

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  @chrisk53212 жыл бұрын

  Succinct.

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  @user-qg4ww3tz2u2 жыл бұрын

  As a data engineer from a non-CS background, it's one of the most helpful materials I found on the internet for linear algebra. It gives a great intuition to understand the math and real-world examples. Huge thanks!

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  @arielserranoni2 жыл бұрын

  I like your explanation, but the sound of your pen hitting the board is extremely disturbing!

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  @iliasaarab79222 жыл бұрын

  Amazing vid!

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  @samirelzein10952 жыл бұрын

  True that! Some Jupyter examples would ve made it complete :)

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  @159_vivekpatel52 жыл бұрын

  Thanks 👌👌👌👌👌👌👌

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  @professorbland2 жыл бұрын

  this is awesome I just need to find the time to watch all these and take notes

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  @mrimatt62103 жыл бұрын

  Best explanation of this material I've ever seen. Thank you!

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  @agarbagestudentsahamoment3 жыл бұрын

  The explanation is simple and elegant, thank you so much for making this brilliant video! I finally understand Bayes Theorem and marginal distribution!

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  @aelialaelia4773 жыл бұрын

  So well done! And the graphic design of 3B1B helps a lot to maintain continuity with Grant's content so that even new viewers aren't disoriented by different visuals.

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  @andreacervantes24853 жыл бұрын

  very good video

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  @nidhyaneducation71233 жыл бұрын

  Please help me, how can I synchronise the animations with the audio? What I am thinking is that I should give long pauses by using `self.wait()` and then trim the video according to the narration. I suppose this is not the best method, please share your method if you have better one.

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  @intelligentsystemslab9073 жыл бұрын

  I edit in final cut pro and do voiceovers there.

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  @user-or7ji5hv8y3 жыл бұрын

  This is a great topic.

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  @seneketh3 жыл бұрын

  This is wonderful. Thanks!

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  @datascience10193 жыл бұрын

  You're a gem, exactly what I needed !⚡

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  @didegng4job4373 жыл бұрын

  good explaination

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  @Mutual_Information3 жыл бұрын

  "You should always use an off-the-shelf, high quality, well tested implementation of random number generation" - that's useful to hear. I've never attempted to create one, but I would be quick to fool myself into think it's easy (from a distance, it sounds easy!). I will now.. never do that :)

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  @oj00243 жыл бұрын

  You can still reasonably safely fool around with DIY PRNGs if you test them properly (run them through test suits like PractRand and BigCrush)

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  @Mutual_Information3 жыл бұрын

  @@oj0024 interesting. Still, I think it’ll be easy to avoid the temptation. Not sure what the use of making one of these would be, except to learn.

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  @rish58273 жыл бұрын

  Thanks! Very good intro to information theory