This is a true teacher. He actually explains the concepts instead of just scribbling equations on the board.

@cly5570

6 жыл бұрын

Couldn't agree more. I am hooked.

@lidarman2

5 жыл бұрын

Why MIT is a top school. I love that MIT allows anyone to watch these for free.

@IonidisIX

5 жыл бұрын

COULD NOT AGREE MORE!!! He is truly amazing. Suddenly the Stats I did on a Data Science Coursera course start to make sense. A couple of more lectures by him and I will have everything sorted out in my mind... My God. Some lecturers just Got it and some just Don't.

@benphua

5 жыл бұрын

I wonder how much time and effort was made to ensure every word was meaningful and carefully stated (just been through a course with a lecturer who knew his stuff but mostly winged it which was one of the biggest wastes of my time). I also noticed not a single 'um' or 'uh' which is amazing.

@cbarlow3

5 жыл бұрын

@@benphua Well, I noticed four "ums" or "uhs" in second 0:35 to 0:45 alone, but I agree the lecture is very clear.

*My takeaways:* 1. History of Monte Carlo Simulation 0:56 2. Monte Carlo Simulation 3:23 - Example1: coins 6:03 - Variance 10:00 - Example2: Roulette 11:00 3. Law of large numbers 18:40 4. Misunderstanding on the law of large numbers: Gambler's fallacy 19:48 5. Regression to the mean 22:42 6. Quantifying variation in data: variance and standard deviation 30:14 - Always think about standard deviation in the context of mean 35:10 7. Confidence level and intervals 36:00 8. Empirical rule for computing confidence intervals 39:27 9. Assumptions underlying empirical rule 43:40 - mean estimation error is 0 - Normal distribution 10. Probability density function 46:25

@dr.mohamedaitnouh4501

3 жыл бұрын

thank you Mr. Lei

@leixun

3 жыл бұрын

Dr. Mohamed Ait Nouh you’re welcome :)

@pajeetsingh

3 жыл бұрын

Thanks Mr. Lel

@leixun

3 жыл бұрын

Pajeet Singh you’re welcome

@imrs07

3 жыл бұрын

Thank you Mr. Lei

The sign of a good teacher--I landed here by accident, stayed for the entire lecture, and understood all of it...

I've never met him, but he taught me python years ago. we should be grateful for such giving human beings.

Not what I was looking for, but couldn't help but watch the entire video. Well done sir.

@vydanzthechamp

4 жыл бұрын

same

@SuperFreelibya

3 жыл бұрын

The same!

@danielschaben

3 жыл бұрын

I love random walks through youtube

@GaoyuanFanboy123

3 жыл бұрын

wanted to know what a monte carlo simulation is but I guess ill revise some stats intuition ¯\_(ツ)_/¯

@3ndr3wmusic56

2 жыл бұрын

@@GaoyuanFanboy123 hahaah same xD

For those looking for some visuals of how a Monte Carlo simulation works, see the second half or so of lecture 7 on Confidence Intervals.

@francissydnor7891

3 жыл бұрын

MVP

@przemysawniedziela4631

3 жыл бұрын

Thanks a lot, that was what I was looking for!

@bharathsf

2 жыл бұрын

Which playlist??

Some of the best explanations of statistics I’ve heard. Does a great job of breaking down concepts.

This guy is such a fantastic teacher. I would love to have him in person, thanks again for uploading the video!

@zZE94

4 жыл бұрын

Have him for ... breakfast?

@antoniomoraes1741

2 жыл бұрын

@@zZE94 Ken really sounded weird ahahahha

@DaviSouza-kq7xz

Жыл бұрын

He prolly would love have you in person too, for sure.

@dennis1836

5 ай бұрын

At the university where I studied all teachers were also fantastic teachers until the exam. Afterwards they were all a**h****.

Watching Prof. Guttah teaching is a joy. A true inspiration for those of us who also like teaching and want to do better

Brilliant lecture. I can binge watch Professor John Guttag's lectures. Amazing.

00:00 Monte Carlo simulation is a method of estimating unknown quantities using inferential statistics. 06:48 Variance affects confidence in probability predictions 13:09 Law of large numbers: Expected return of fair roulette wheel is 0 over infinite spins 19:23 Understanding the Gambler's Fallacy and Regression to the Mean 25:16 Regression to the mean is a statistical phenomenon where extreme events tend to move towards the average with more samples. 31:11 Understanding variance and standard deviation for computing confidence intervals. 37:37 Understanding confidence intervals and the empirical rule 44:04 Probability distributions can be discrete or continuous, and are described by probability density functions. Crafted by Merlin AI.

I came here for the Monte Carlo simulation but got unexpectedly thus far the best explanation for simple concepts like Variance or Standard Deviation

What a beautiful way to explain a concept. Starts with something so simple and gradually builds up to the more complex part, also delivers the lecture in a way that even a tiny bit of boredom can't creep in.

Isn't he the most adorable teacher ever? Great job walking your audience through the material!

this man right here is a true teacher, understands the subject topic deeply and speaks passionately

Great teaching style. Small number of teachers can teach such concise and clarify. I learn a lot from the great educators.

26:53 Great answer to make the difference between gambler's fallacy and regression to the mean clear!

Thank you for share this amazing video

Had this same lecture in PSYCH Stats class at CofC. Learned a lot and this was fun to watch again

Thank you for this great lecture. You explain it so well. I was looking for Monte Carlo Simulation but ended up watching the whole video.

Actually you are an amazing demonstrator

such respect for these fantastic teachers

Wonderful professor. So casual but I believe what the students learn will stick with them forever.

An instructor of the highest caliber; clear explanations, projects a seemingly universal likeable and fair personality, low intensity approach. Good hire MIT!

Excellent lecture. Prof. Guttag is a great teacher. Thank you. Every course or lecture I have watched in this MIT Open Courseware has been superb. Thank you to the teachers and to MIT for posting.

For those that may be confused, he misspoke at 23:36 "taller than average" should have been "taller than the parents". In the case that parents are shorter than average, it is expected that their children will be taller than them, not taller than average.

he is so funny, i wish i had such professors

I love the sense of humour of the instructor. A great lecture indeed!

Excellent presentation. Don't know why KZread presented the option of the video, but watched until the end. Very gifted professor. The only thing that I can think to improve it is to repeat the question from the audience so that the question is picked up on the recording.

great video, such a clean delivery of the concepts. well done

I love these old school professors. They are true masters.

Wow... fantastic lecture by Prof. Guttag... Thank you and congratulations.

Thanks you for being a great teacher. I really needed some background on Montecarlo.

Thanks for addressing the apparent contradiction of the Gambler's Fallacy vs Regression to the Mean ~25:00 in. I'd always thought these 2 were in opposition, but guess I'd never heard (or thought of it) in the right frame of reference.

WANTED MORE ABOUT MONTE CARLO, but he is such an amazing teacher that I got stuck anyways!!!!

Thanks for sharing this video. Concepts very well explained and accessible. Thank you.

The best way to explain variance formula!

I love professors who make mistakes and make corrections accepting help from students.

Great lecture. The concepts were explained clearly. I understood them very well. Thank you!

Thank you Prof. Guttag & MIT.

Extremely Based series of lectures. Top tier professor!

What a great teacher. Absolutely loved it

Very interesting lecture, was planning on skimming it and watching small sections but I watched the whole thing without noticing the time passing!

The explanation is clear, his lecture is great!

Beautifully done.

Unfortunately, during my studies at Bachelor and Master, I never had such great real professor. Thanks so much for sharing such great video.

Thanks for this video. Amazing explanation!

i love you sir. you are a great teacher.

I really love the teachers at MIT. I have watched a ton of lectures from them and all have been great

@NazriB

2 жыл бұрын

Lies again? Support Indonesia Malaysia

Professor, your lecture was engaging. Thank you.

This is the best lecture I have ever seen on statistics. It wasn't even what I was looking for but couldn't take my eyes off it till the end. Thank you Professor! Thank you MIT!

Finally understood what statistics is about after 10 years of endeavour! Thanks so much!

@howardlam6181

5 жыл бұрын

Trying applying it to obtain Lebsegue Integral. See, you probably have understood nothing.

@harshabhogle1020

5 жыл бұрын

Kasra Keshavarz your face shows how stupid you are

@AbhishekSingh-pp1ks

3 жыл бұрын

Howard Lam. It is “Lebesgue”

He is such a great teacher on multiple topics. After this course I plan to finally take Linear Allgebra.

Thank you! Amazing teacher.

Thank you Professor Guttag and thank you late Stanislaw Ulam.

Thank you professor Guttag. Fantastic lecture and explanations.

12:47 "win some lose some, it's all the same to me" Lemmy

This professor is incredible!

What a treat to watch him teach! :) Hats off!!

Love your Data Table hack at 2'. Thank you for that!

Adorei a aula, excelente!

I am so grateful of your explanation

Thank you Eric.

Makes even high level material understandable to a neophyte. That's the mark of a skilled educator.

After watching this lecture, I wish I was smart enough to get into such elite schools and be taught by such passionate teachers. Respect!

@dxhunzai

4 ай бұрын

But you have access to MIT open courseware

Hint: Playing on 1.25 speed is ideal for this video.

@AbdulRabChachar

4 жыл бұрын

Thanks. :))

@samvandhapathak2167

4 жыл бұрын

2x for engineering students in south asia

@Matze27396

3 жыл бұрын

For an foreign student from germany like me - 1.0 speed is good. But for all native english speakers i think he speaks quite slow.

@mlsivaprasad

3 жыл бұрын

But 1.0 speed is too good.

@pipertripp

3 жыл бұрын

pro-tip, mate. Thx for the time back.

I give this professor two thumbs up. I like his style. Good presentation also. A hardy bravo zulo to the man.

Amazing explanation

Suddenly the Stats I did on a Data Science Coursera course start to make sense. A couple of more lectures by him and I will have everything sorted out in my mind... My God. Some lecturers just Got it and some just Don't.

Should of done better in highschool and went to MIT. This is great. A true teacher

Hayatımdaki en iyi üniversite dersiydi.Thanks Prof J. Guttag

My big interest is Monte Carlo simulation and Markov chain!!!

that is amazing

I was excited for this one

Thats the best lecture I have ever seen.

Fortunate to find his video !! A legend I was looking for !!❤️❤️❤️

Excellent lecture

Concept well explained

I had so much more fun learning the subject with Dr. Guttag than my uni professor.

Great lecturer! Amazing!

A good session, I'll search for the prof and watch more videos. 👍

Very good introduction of how the e-Pi-i conception of probabilistic Calculus by Pi circularity numberness/orbital is a dualistic +/- possible Infinite Sum, Normal/orthogonal self-defining "e", metastable +/- singularity convergence to zero difference, balance of frequency constants in Totality.

Ok, he is really good 33:45, how I hoped to have a prof. like him back in college.

He is the best! Such a pleasure and luck to be able to access this lecture.

take care professor and thank you for lecture

The true meaning of the teacher!

Thanks for this video, very easy to understand

Thank you for sharing the knowledge...

Genius teacher! Just so intuitive!! Wowwwww

I think if you add captions for the questions it will be awesome.

Thank you , professors.

Fantastic lecture

i love this guy

I feel like I with no prior knowledge just intuitively already understand all of this and use it in daily life. Cool to hear it's basis though and a more technical presentation

Excellent class

This guy is an awesome guy

Awesome lecture; thanks!

proper: denoting a subset or subgroup that does not constitute the entire set or group, especially one that has more than one element.

one of the best!!!

what a wonderful teacher!! he teaches how to teach