Correction: at 8:34 > formula 4 (just as an example, using the formula from 5:58) > the Average(RD D) should be MUCH lower since D's k=3Neighbors are E,F,G. The density will be as a result much higher, which is expected if you look at those points at 5:22. Just putting this here in case it helps others. Excellent video overall!
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I posted my complete AI course including math and coding on Udemy. Format is different as it is my explaining on whiteboard. Below link gets you discounted access for 49.98$: www.udemy.com/course/machine-learning-become-expert-full-course-31hrs/?couponCode=MFUDEMY2021
Nice explanation, especially for the calculation of *Average(RD_A)*, but I have some doubts about the correctness of the averages of RD_B, RD_C and RD_D. Could you please make another video explaining their determination, particularly highlighting the idea of smoothening with respect to the reachability distance calculations? I had expected the values of E, F, and G as the neighbours of point D to show up in the calculation, but those are missing. Overall, thanks for the great efforts. Cheers.
I posted my complete AI course including math and coding on Udemy. Format is different as it is my explaining on whiteboard. Below link gets you discounted access for 49.98$: www.udemy.com/course/machine-learning-become-expert-full-course-31hrs/?couponCode=MFUDEMY2021
Thank you for the nice explanation. I want to confirm something at 4:30 the radius of circle B should have included the point D within its radius, right?
I posted my complete AI course including math and coding on Udemy. Format is different as it is my explaining on whiteboard. Below link gets you discounted access for 49.98$: www.udemy.com/course/machine-learning-become-expert-full-course-31hrs/?couponCode=MFUDEMY2021
I posted my complete AI course including math and coding on Udemy. Format is different as it is my explaining on whiteboard. Below link gets you discounted access for 49.98$: www.udemy.com/course/machine-learning-become-expert-full-course-31hrs/?couponCode=MFUDEMY2021
I posted my complete AI course including math and coding on Udemy. Format is different as it is my explaining on whiteboard. Below link gets you discounted access for 49.98$: www.udemy.com/course/machine-learning-become-expert-full-course-31hrs/?couponCode=MFUDEMY2021
I posted my complete AI course including math and coding on Udemy. Format is different as it is my explaining on whiteboard. Below link gets you discounted access for 49.98$: www.udemy.com/course/machine-learning-become-expert-full-course-31hrs/?couponCode=MFUDEMY2021
I posted my complete AI course including math and coding on Udemy. Format is different as it is my explaining on whiteboard. Below link gets you discounted access for 49.98$: www.udemy.com/course/machine-learning-become-expert-full-course-31hrs/?couponCode=MFUDEMY2021
Thanks for the great, clear explanation - much better than previous scripts / videos I have watched before.
Correction: at 8:34 > formula 4 (just as an example, using the formula from 5:58) > the Average(RD D) should be MUCH lower since D's k=3Neighbors are E,F,G. The density will be as a result much higher, which is expected if you look at those points at 5:22.
Just putting this here in case it helps others.
Excellent video overall!
same doubt i had, i think u are correct
La mejor explicación disponible sobre el tema. Muchas gracias
Thank you very much, your explanation and visuals are amazing...
Thanks Leandro, glad you liked it
Deloitte and I released a crash course AI, Machine Learning and Deep Learning - 75 minutes of animated video and with Deloitte certificate: rainmakers.talentlms.com/catalog/info/id:125....if you don't care about the certificate you can get the course on Udemy: www.udemy.com/course/deloitte_ai/?referralCode=7038EEF7704608A21246....
7:01 max(3rd dist B, dist(AB)+... always misses the closing bracket ")". It should be max(3rd dist B, dist(AB))+...
This is a very clear explanation. Thank you Mario.
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The best explanation by far. Thank you Sir.
I posted my complete AI course including math and coding on Udemy. Format is different as it is my explaining on whiteboard. Below link gets you discounted access for 49.98$: www.udemy.com/course/machine-learning-become-expert-full-course-31hrs/?couponCode=MFUDEMY2021
Very useful. Keep up the good work!
Nice explanation, especially for the calculation of *Average(RD_A)*, but I have some doubts about the correctness of the averages of RD_B, RD_C and RD_D. Could you please make another video explaining their determination, particularly highlighting the idea of smoothening with respect to the reachability distance calculations? I had expected the values of E, F, and G as the neighbours of point D to show up in the calculation, but those are missing.
Overall, thanks for the great efforts. Cheers.
Thanks a lot. Very good explanation!
Great explanation
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Thank you for the nice explanation. I want to confirm something at 4:30
the radius of circle B should have included the point D within its radius, right?
yes D is 3rd neighbor and E and C are neighbors 2 and 1
Very clear, so helpful
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very good and interesting to listen.
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thanks a lot sir for helping us
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8:39は，これでよいでしょうか。
Average(𝑅𝐷_𝐴)=1/3[max(3𝑟𝑑 𝑑𝑖𝑠𝑡𝐵,𝑑𝑖𝑠𝑡(𝐴𝐵)+max(3𝑟𝑑 𝑑𝑖𝑠𝑡𝐶,𝑑𝑖𝑠𝑡(𝐴𝐶)
+max(3𝑟𝑑 𝑑𝑖𝑠𝑡𝐷,𝑑𝑖𝑠𝑡(𝐴𝐷)]
Average(𝑅𝐷_𝐵)=1/3[max(3𝑟𝑑 𝑑𝑖𝑠𝑡𝐶,𝑑𝑖𝑠𝑡(𝐵𝐶)+max(3𝑟𝑑 𝑑𝑖𝑠𝑡𝐷,𝑑𝑖𝑠𝑡(𝐵𝐷)
+max(3𝑟𝑑 𝑑𝑖𝑠𝑡𝐸,𝑑𝑖𝑠𝑡(𝐵𝐸)]
Average(𝑅𝐷_𝐶)=1/3[max(3𝑟𝑑 𝑑𝑖𝑠𝑡𝐵,𝑑𝑖𝑠𝑡(𝐶𝐵)+max(3𝑟𝑑 𝑑𝑖𝑠𝑡𝐷,𝑑𝑖𝑠𝑡(𝐶𝐷)
+max(3𝑟𝑑 𝑑𝑖𝑠𝑡𝐵,𝑑𝑖𝑠𝑡(𝐶𝐸)]
𝐴𝑣𝑒𝑟𝑎ge(𝑅𝐷_𝐷)=1/3[max(3𝑟𝑑 𝑑𝑖𝑠𝑡𝐸,𝑑𝑖𝑠𝑡(𝐷𝐸)+max(3𝑟𝑑 𝑑𝑖𝑠𝑡𝐹,𝑑𝑖𝑠𝑡(𝐷𝐹)
+max(3𝑟𝑑 𝑑𝑖𝑠𝑡𝐺,𝑑𝑖𝑠𝑡(𝐷𝐺)]
Very good video! The sound is unfortunately of low quality.
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seems very computationally expensive...
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Great explanation