Kernel Density Estimation : Data Science Concepts

  Рет қаралды 30,117

ritvikmath

ritvikmath

Күн бұрын

Пікірлер: 61
@kolepugh9186
@kolepugh9186 11 ай бұрын
As a senior data science student, I want to enter the job market with as much knowledge as possible. Easy-to-follow videos like this make that goal so much easier. Thank you!
@ritvikmath
@ritvikmath 11 ай бұрын
Great to hear!
@mustafizurrahman5699
@mustafizurrahman5699 9 ай бұрын
Enthralling video on this topic. I cannot thank you more for the lucid explanation on this interacted topic.
@pipertripp
@pipertripp 10 ай бұрын
Sublime. This topic just came up in a data analytics course I'm taking (it wasn't a central theme of the lesson, but I hate not knowing the details sometimes) and this programme is a perfect complement to that. Like others have said, your style is intuitive but not over simplified. In general, I feel like you're striking a great balance between ease of understanding and mathematical rigour.
@shu5011
@shu5011 10 ай бұрын
Love the content. Easy to follow and understand. You are one of the best teachers in the data science field!
@jamescanada2460
@jamescanada2460 Ай бұрын
Such a great lesson! Lately I've been very frustrated with the unintuitive and bloated language of my university lectures and texts. Thank you!
@Frijjazzo
@Frijjazzo 10 ай бұрын
Amazing video, so clear and concise. I learn better with visual and conceptual ideas first before diving into the maths. Thank you!
@ritvikmath
@ritvikmath 10 ай бұрын
Glad it was helpful!
@margaritakhachatryan
@margaritakhachatryan 3 ай бұрын
10 times better than any materials i had from uni, and now i actually get it!!
@uncaged3076
@uncaged3076 Ай бұрын
Thank you for this video. Way way better teaching than what I am getting in university
@HemanthKumar-vl9oh
@HemanthKumar-vl9oh 11 ай бұрын
Very good and intuitive explanation
@ritvikmath
@ritvikmath 11 ай бұрын
Thanks!
@EricJ-f9m
@EricJ-f9m 4 ай бұрын
Crystal clear! Appreciate your effort for making such amazing videos!
@andrashorvath2411
@andrashorvath2411 8 ай бұрын
Very clear flow of explanation, thank you. I'm thinking that it would be useful to design a hypothesis test for the chosen setup to back up the idea of the final density and so to get an extra information along with the vertical position of the chosen point as of how much proof we have for the final result that is allowed by the number and positions of the known fixed points. More research would be nice.
@faisalhussain1045
@faisalhussain1045 3 ай бұрын
Just one silly question pl. Which tool did you use to plot the graphs at 15:20 ?
@faustovrz
@faustovrz 10 ай бұрын
Clear explanation and easy to follow, thank you! Silly observation: "Integrate over all possible weights of fish. All the way from negative infinity to positive infinity": I'm no ichthyologist or fisherman but I feel negative weight fish ain't an option.
@pranavchandrav6071
@pranavchandrav6071 6 ай бұрын
Negative infinity to positive infinity just means that you've to integrate the PDF over its domain :)
@iffatara8846
@iffatara8846 6 ай бұрын
the only video i undestood without mathematical jargon.
@hasnaabennis1248
@hasnaabennis1248 11 ай бұрын
Amazing video! Clearly explained with an easy to understand example. Thank you
@ritvikmath
@ritvikmath 11 ай бұрын
thanks!
@jamesagresto4049
@jamesagresto4049 2 ай бұрын
Big fan of the fish drawings :)
@petegranneman1623
@petegranneman1623 7 ай бұрын
Great explanation! Gaussian KDE is great for bimodal and skewed distributions. One downside with gaussian KDE is difficulty accurately modeling distributions with high excess kurtosis.
@perkyfever
@perkyfever 10 ай бұрын
Quality content here. Also examples are nice and clear!
@dr_greg_mouse4125
@dr_greg_mouse4125 8 ай бұрын
Really nice explanation. Thanks a lot.
@niklasbjorkenheim1479
@niklasbjorkenheim1479 9 ай бұрын
Thank you, Great Video:)
@niklasbjorkenheim1479
@niklasbjorkenheim1479 9 ай бұрын
No Problem !
@ritvikmath
@ritvikmath 9 ай бұрын
Glad you liked it!
@iaaan1245
@iaaan1245 2 ай бұрын
Banger video as usual
@isoljator
@isoljator 3 ай бұрын
Excellent video, subscribed!
@ritvikmath
@ritvikmath 3 ай бұрын
Awesome, thank you!
@franfurey
@franfurey 9 ай бұрын
Love it, amazing work in this video, congratS!
@ritvikmath
@ritvikmath 9 ай бұрын
Thanks a lot!
@ЮхновськийНазарій
@ЮхновськийНазарій 18 күн бұрын
thank you very much, it has become so clear.
@mandyguo4020
@mandyguo4020 3 ай бұрын
Always the best!!
@edgarromeroherrera2886
@edgarromeroherrera2886 27 күн бұрын
so useful. Thank you so much man
@emre-erdin
@emre-erdin 3 ай бұрын
Thank you for this amazing video! But I have a question. At the beginning, the question was defined as "What is Population Density". But, does not KDE give us the density of a spesific data point instead of the whole population as estimated? Because the result is found as using a data point which does not appear in the results. Therefore, we actually try to understand the density of a spesific point instead of population. Do I get it wrong or was the question generalized?
@eramy1
@eramy1 9 ай бұрын
Thanks for the good explanation about KDE method. could you please make a video about prediction intervals PI that sometimes uses the KDE method? thanks!
@FlemingRound
@FlemingRound 3 ай бұрын
Very nice!
@orastem
@orastem 2 ай бұрын
Would it be fair to say that this method is applicable mostly when the amount of data is relatively low? With large amount of data you'd just plot a histogram and be done? What sort of data do you visualise with KDE?
@njabulonzimande2893
@njabulonzimande2893 2 ай бұрын
Part of non parametric regression for postgraduate statistics
@VarunMalik-mo6mr
@VarunMalik-mo6mr 3 ай бұрын
You are best❤
@ovren4897
@ovren4897 7 ай бұрын
great video but i am confused about why we didn't use just 1/n*(sigma(...)) for MISE formula but integral and expected value.
@deltamico
@deltamico 6 ай бұрын
You integrate cause you're working with continuous functions. It is already normalized since the squared difference could be at most 1. We also want a good estimsted distribution to perform well on other samples from the true distribution. That's why we take the expected error on various samples
@luciapalacios7819
@luciapalacios7819 10 ай бұрын
Amazing video thanks!!!!
@winstongraves8321
@winstongraves8321 10 ай бұрын
Great video
@ritvikmath
@ritvikmath 10 ай бұрын
Thanks!
@vallaugeri3152
@vallaugeri3152 6 ай бұрын
So helpful, better than my professor lol
@ritvikmath
@ritvikmath 6 ай бұрын
Thanks!
@alihussien7935
@alihussien7935 11 ай бұрын
Wow you are great can you make full Videos about ml using book An Introduction to Statistical Learning - with Applications in R?
@ritvikmath
@ritvikmath 11 ай бұрын
Thanks! I’ll look into it
@alihussien7935
@alihussien7935 11 ай бұрын
@@ritvikmath please doit you explain things Easy and simple, given the must information of things so it's very Easy for us to remember
@_noirja
@_noirja 10 ай бұрын
very very good one pound fish
@mario1ua
@mario1ua 10 ай бұрын
Come on ladies, come on ladies
@nilkantgudpale1959
@nilkantgudpale1959 10 ай бұрын
loved the way teach
@ritvikmath
@ritvikmath 10 ай бұрын
Thanks!
@Baharehhashemi-df4cv
@Baharehhashemi-df4cv 8 ай бұрын
thank you
@ImTheCitizenInsane
@ImTheCitizenInsane 4 ай бұрын
Great content, and very clearly explained. May I just suggest starting from "white sheet" or almost? it doesn't need to be written or drawn incredibly well but the full sheets feel pretty overwhelming
@louvasi7388
@louvasi7388 2 ай бұрын
It would have been nice, if you had written down the math at 11:50.
@AdrianBoyko
@AdrianBoyko 24 күн бұрын
Was expecting the terms to be “over fitted” and “under fitted” but they turned out to be “under smoothed” and “over smoothed”. So disappointed.
TFIDF : Data Science Concepts
7:55
ritvikmath
Рет қаралды 29 М.
EM Algorithm : Data Science Concepts
24:08
ritvikmath
Рет қаралды 77 М.
Леон киллер и Оля Полякова 😹
00:42
Канал Смеха
Рет қаралды 4,7 МЛН
Cat mode and a glass of water #family #humor #fun
00:22
Kotiki_Z
Рет қаралды 42 МЛН
Арыстанның айқасы, Тәуіржанның шайқасы!
25:51
QosLike / ҚосЛайк / Косылайық
Рет қаралды 700 М.
Intro to Kernel Density Estimation
17:38
webel od
Рет қаралды 156 М.
The KL Divergence : Data Science Basics
18:14
ritvikmath
Рет қаралды 54 М.
LSTM Networks: Explained Step by Step!
34:48
ritvikmath
Рет қаралды 27 М.
Gaussian Processes : Data Science Concepts
24:47
ritvikmath
Рет қаралды 16 М.
The Elo Rating System
22:13
j3m
Рет қаралды 54 М.
Kernel density estimation (Excel)
13:58
NEDL
Рет қаралды 10 М.
KERNEL DENSITY ESTIMATION (KDE) THEORY || Non Parametric Statistical Modelling || Data Science
17:40
Леон киллер и Оля Полякова 😹
00:42
Канал Смеха
Рет қаралды 4,7 МЛН