A Critical Skill People Learn Too LATE: Learning Curves In Machine Learning.

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Title	:	A Critical Skill People Learn Too LATE: Learning Curves In Machine Learning.
Lasting	:	6.55
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Description A Critical Skill People Learn Too LATE: Learning Curves In Machine Learning.

Comments A Critical Skill People Learn Too LATE: Learning Curves In Machine Learning.

Can't describe how helpful and beautiful this video is, simply Amazing
Comment from : Muzammil Rizvi

read about islam man
Comment from : Ahmad Bodayr

Great explanation with lots of illustrations, simply a very good job, keep going
Comment from : Mohammad Fasha

understood evey bit of it, well done brother ❤❤
Comment from : Dilshan Pieris

İndian dominance is so much high in IT now, white guys make educational videos in indian accent
Comment from : Salman Qafarov

great explanation
Comment from : Meryem Amaouche

Great explanations, especially useful when you work on your own dataset rather than the Kaggle ones
Comment from : Atakan Bilgili

This is one of the best Machine Learning channels I've seen Thanks Santiago 🙏🏻 You have a new subscriber I came here from Twitter, your content there is super good❤️🙏🏻brbrPlease keep making explanatory videos with simple language, so anyone can understand brThank you again🙏🏻
Comment from : Self Education Nation

So top suggestion for a ML book
Comment from : John Pan

YES!!!! You just solved a problem I ran into years ago!
Comment from : Scott Savage Techno Scavenger

hey man im not understand roc curves inn logreg
Comment from : alireza norouzi

Hey! Solid video, had a slight recommender; balance the audio out a bit, I think L is 10-20 louder than R
Comment from : CB

What an amazing explanation ! It shows how well you yourself understood it - so glad I found you on Twitter !!
Comment from : OrbitingGeek

Straigtht to the point I honestly like how you talk more of theory and analysis rather than code
Comment from : chidubem

Excellent analogy 👏 Thank you very much Santiago!! Your videos are so cool and to the point !!
Comment from : Javier Cerda

Great Insights Very helpful, Thank you
Comment from : Malik 2k212

Great quality of information and really precise So helpful for a beginner like me
Comment from : victor garcia

Absolutely brilliant!
Comment from : Jairo Alves

That beat 💓
Comment from : Parampreet Singh

Superb explanation of the what is the problem and how to approach solving it
Comment from : Paul Allen

Thanks for this video I would say validation set, cross-validation sets or resamples instead of testing But the main ideas are the same I only use the holdout set once for the last fit and some people can misinterpret some concepts here
Comment from : Jordi Rosell

17 minutes than i've seen in years
Comment from : Jasbar Legaspina

oh no, someone must have complained about the sound right?🤨 I'm going to miss the loud videos, I loved them louder It always woke up my attention😒😒
Comment from : Okot Pascal

what does it mean when test loss is lower than training loss?
Comment from : Junaid Mohammad

Qn Can we use the concept of overfiting to understand how good is our training data? Eg What if we can not overfit our training data? Can we say our data is not good enough to train the model?
Comment from : burhan rashid hussein