The value that you put out for free is INCREDIBLY appreciated. You are seriously helping so many students and professionals through your videos. Thank you so much on behalf of all of us.

As always Ritvik never disappoints when it comes to breaking down a concept without relying on mathematical equations, and still giving the best overview of a concept in the most generalized way possible. Thank you!

I don't think I've ever commented on an educational video in my 22 years cause I'm always left with a doubt at the end, but this video genuinely helped me understand the terms in detail! Thank you ritvik

One of the clearest explanations of this tradeoff I've seen so far, thanks!

Oh my days, I struggled for the past 3 days trying to understand this concept. It all makes sense now! Thanks a ton!

The best video on internet about Bias Variance. Since I am interested in machine learning, I have watched hundreds of video on this topic, but haven't understood much. But your video made it easy for me. You saved my life. Thanks a lot man. I pray for your good health & wealth

Hey Ritvik, I like the way you try to build up the intuitive sense around maths rather than focusing on the theorems! Great work!

I think you nailed it by clearly showing how model prediction vary based on the training data. Most bias-variance explanations out there never really make it clear that you're looking at the same model trained on different data Great job!

Appreciate the video. What a intuitive, straight-to-the point lecture in a perfect play time

Thank you so much. This is by far the clearest explanation I have ever come across on this topic!

The pen-toss - finger-snap combo at the end was fun. 😄 Truly appreciate this succinct summary of the concept; served as a wonderful refresher. Saving this in a revision playlist.

Hey bro. You make excellent videos. Keep up the good work.

@ritvikmath

3 жыл бұрын

Thank you so much 😀

Just wanted to say thank you. All of your videos I have watched are pretty understandable. I'm reviewing those terminology concepts and prepare my coming interview. If it's possible, I'm looking forward to seeing your video about L1 and L2 explanation or the overfitting solution.

And here I am - coming back to your videos even after finishing an ML course. Thank you

You are AWESOME... The fun part is, I grasped this concept earlier from some text but when I was reading some other resources about some other topics they also brought up the bias variance. From those explanations, I got completely confused and started to doubt my understanding itself. Thanks for your effort. It really helped me bring back my confidence.

@ritvikmath

4 ай бұрын

Glad it was helpful!

Wonderful video! Never really understood these terms when studying until now :) Thanks a lot!

You are an absolutely incredible teacher!

Wow!! Very well explained!! I appreciated your effort. It is not easy to put all these together perfectly! Thank you so much!

This makes so much sense! Thank you for the awesome explanation.

This was a fantastic explanation. Thanks for the clarity!

This is the only video, I learnt about bias-variance tradeoff

Love such an easily explained complex stuff! Thx a lot!!!

Made this crystal clear. Thank you for this content

A wealth of wisdom in a nugget!

Pleasantly surprised to see this good of content on youtube!

Thank you so much....this was one of the best explanation of variance- bias...again Thank you so much for all your videos...Respect...

That's one great overview! Thanks!!

amazing video pure informations well done thanks ritvik

Best explanation on this topic! Thank you!

Great explanation Ritvik, thank you!

Very well explained! Great work!

Thanks for simplifying such a complex topic!

The explanation was super!!! Thanks for sharing this

One of the best DS tutors out there. Keep it up!

@ritvikmath

3 жыл бұрын

Glad you think so!

This is the best youtube video I've ever seen. Thank you so much

@ritvikmath

3 жыл бұрын

Wow, thanks!

I really enjoyed this explanation. This is a must watch for anyone who wants to start working with machine learning.

@ritvikmath

3 жыл бұрын

Glad you enjoyed it!

@telugujack5562

3 жыл бұрын

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Thank you so much! Great explanations, wish I would've watched this sooner

you are just GREAT dude... you explained it sooooooo nicely i cant believe

Thank you very much this's exactly what I needed.

Hey @ritvikmath, This man is genius. He explains the complex stuffs so simple. Hats off sir.

Bagging and Boosting ❤️ Can u please part 2 for this video with mathematics bcoz you really are good at explaining complex things I understood pca fully bcoz of u

Great explanation ! Thanks !

Yes, I did intuitively understood the concept. Thanks

Awesome explanation. Sincere thanks

Absolutely Perfect!!!

excellent presentation for boas and variance. Thank you

Simply explained is best for intuition

wow. You are so good! You really help me understand the concept completely!

@ritvikmath

3 жыл бұрын

I'm so glad!

Thank you, what a great explanation

very clear about the definitions of variance and bias. It tells sth. about many models, not one.

One more GREAT video, really don't know what to say man, thank you :-)

Thanks for the effort!

great explanation. thank you, master

this is the best explanation!

what a great video, thank you very much

"Obviously", this is the best explanation of bias and variance.

wow. perfectly explained. holy moly

Write a book about simply explained data science. You're great at explaining things intuitively and am sure you'll have a market for such a thing. Thanks for your vids bro.

really great explaination thanks!

Dude, u are a perfect teacher

Thank you very much, as always spot on

Amazing explanation... tkx a lot

My course book definition was so confusing but you made it so clear. Thank You!

@ritvikmath

Жыл бұрын

Of course!

Brilliant explanation

Fantastic explaination

man so good explained really.

Excellent explanation

This man is amazing.

Great video man! Tnx a bunch!

@ritvikmath

3 жыл бұрын

Glad it helped!

FFS my university is filled with world famous research professors that dont know how to teach and couldnt explain this concept in hours of lecture :( thank you so much!

Well Explained!!

Well said! Keep up the good work.

@ritvikmath

3 жыл бұрын

Thanks, will do!

Excellent explanation - thank you for this video

@ritvikmath

3 жыл бұрын

Glad it was helpful!

Really good explanation

Amazing video

very clean explanation

Subtitles of this video are rally nice. Without it I wouldn't known you speak Korean.

Very good video. Thanks!

@ritvikmath

3 жыл бұрын

Glad you liked it!

The wow part was the explanation on contribution of each model to learn the average 'signal' (true pattern) and 'noise' of a data.

Sir great explanation, plz make videos on statistical inference

Thank you for the video, great job! But I have a question that based on my understanding, variance here should be the difference between prediction accuracy from different test data set. Please correct me if I am wrong. Thanks again for the video, love it.

Great explanation

@ritvikmath

3 жыл бұрын

Glad it was helpful!

I like how u explain it, can u make videos about LASSO, SCAD and MCP, I still confused about them..

@ritvikmath

3 жыл бұрын

I do have a LASSO video: kzread.info/dash/bejne/nJartaWwn7ebYbA.html And thanks for the other suggestions!

thanks that helped a lot

@ritvikmath

2 жыл бұрын

No problem!

Thanks for the great video! One question Sir, do you also have a video of mean square error decomposing to Bias + Variance? I am confused in why some expectation are constant, and what the expectation over of. Thank you so much!

Thank you so much]

wow you make it so easy to understand

@ritvikmath

Жыл бұрын

Thanks!

Thanks alot 👏👏

So should we strive to optimize the _product_ of bias and variance?

love the marker flip at 5:39 LOL

Hi, thanks for the video.

@ritvikmath

3 жыл бұрын

Thanks for watching!

Thanks!!

Genious!

thank you

Great presentation! You mentioned that complex models have a tendency to pick up both real patterns and noise from the dataset they are trained on, so their predictions are all different (high variance) due to the noise, but correct on average. I'm wondering, if you have a very large dataset, why isn't it viable to train the same very complex (strongly overfitted) model on N chunks of the dataset and use the average prediction of these N models?

Thanks a lot ritvik

@ritvikmath

3 жыл бұрын

You're welcome 😊

Thank you!

@ritvikmath

Жыл бұрын

Of course!

Recommend future video suggestion: Fisher Information.

Perfect

Awesome