Відео

for the exponential distribution: why do all of your means stay in the interval [0,2] ? how come we don’t see some of those red lines over near 5 or 10?

Awesome bro thanks a lot. I like your Double bam!

You mention that R^2 as a more intuitive / useful method for understanding goodness of fit than correlation, but doesn't R^2 require the assumption that the model is linear (so it cant be used for logistic regression and other non-linear models)? Does correlation have this same requirement too?

The normal quantile values are provenient from the z-score calculation? In your example, the first quantile value in the dataset is 0.6 and the respective normal quantile value is -1.5. Does this value come from the z-score calculation? Thanks in advance

Please could someone explain how this works when AI is being used to predict into 3 or more classes. The threshold to make the confusion matrices would be much more difficult to change to test all permutations wouldn't it?

WOWW! This was super helpful! Thanks Josh!

Josh if i was ____________________________________________REDACTED_______________________________________ thanks josh.

you are the unique ML teacher guy in the world, and I don't think anyone can explain this thing like you. Thank you myself for knowing your channel!

Hilarious, easy to understand, and entertaining. Bravo!

😂Aah That song is cool 😎

In India due to competition for engineering entrance exam teacher majorly focus on question types rather than concept in depth. Im glad there is a place where people learn for fun not just for competition, also appreiciate teachers like you who can turn subjects into magic. Keep up the good work! From now on I'm permanent on this channel. You are the best!

i literally was having a menatal breakdown coz i was unable to understand things. your video helped me a lot and also brought a smile on my face :))

this video was absolutely a BAM!!

Hello sir you are doing great work for our community,but I have a humble request please make video on maths learning topics which are important to become AI and ml engineer with proper guidance and free learning resources and full roadmap of learning mathematics please sir ! 🙏🙏 But thanks for your hardwork😊.

love and respect +1

Been smashing my head against the black box.

Very well explained! thanks for making this

Can we have the slides as pdf

Is learning Python enough for this field, or do i have to know other languages as well?

This will help me greatly for my MS project.

Can Kmeans clustering algorithm give wrong centroid values once in may be 20 tries ? i think in my code sometimes duo to random initialization of centroids it is ending up reaching some local extreme rather than obtaining the correct result.@statquest

5:45 I think we can blame the ML algorithm, because it is significantly worse than random guessing! 😁

Thanks Josh, your channel is recommended from Murdoch University,Australia lecturers. Worth watching your channel

Hello Statquest, I would like to say Thank You for the amazing job, this content helped me understand a lot how Attention works, specially because visual things help me understand better, and the way you join the visual explanation with the verbal one while keeping it interesting is on another level, Amazing work<3

Waiting for Fourth BAM!

Double bam

BAM!

Thank you so much!!! Love the sound effects and the jokes

Amazing video, Thank you ! can I ask, How are the weights and biases being learnt in this example ? Thank you 🙏

Excuse me, what is your code editor?

thanks for the video

Hi StatQuest, you said that by scaling the inputs between 0 and 1 it makes the math easier, but what would change if the inputs were not scaled. Also great series of videos :))

Anyone watching this video on 2024 use ConfusionMatrixDisplay.from_estimator() instead of using plot confusing matrix() with the same parameters

Seeing your face for the firsts time. You are such a gem to people interested in statistics and machine learning. Very simplified. If I wanna get some intuition before going deep into the text book in a very quick manner no doubt I'll watch stat quest. I wanna meet you at least once. Thank you so much man. Respect for you buddy.

Highly educational and entertaining! Thank :)

Finally got it ❤

Amazing explanation and great voice! It is a pleasure to listen to You and all examples are funny. Live the pictures and examples. Thank you!

BAM! 😎😂

Thanks for the great explination.

so whats the standard deviation of the mean of the means of the means called

why do you use 1:1 resampling instead of stratified resampling? The dataset contains 3.5 no_default:1 default. Does this affect SVM results?

I have an exam in 3 days, yet now I am questioning why I didn't found this channel since the beginning of my semester............

you are legen wait for it dary

You are the boss

"BAM" it's 5 years And still best explanation of ML "Double BAM" i discovered this channel 😆

infinite BAM!!!

U R A LIFE SAVER, THANK U!!

Josh Starmer 2024

Great work, Thank you Josh, I'm trying to connect ideas from different perspectives/angles, Does the lambda here somehow related to Lagrange multiplier ?

Thankssss!!!! Was wondering if our greatest Dr Starmer could come up with a video talking about CCA, Canonical Correspondence Analysis as welll!