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Thank you, sir

Amazing ❤

i had a doubt , should i complete python first or the lectures?

Johnny sins teaching mathematics😮

5! = 120 . anyway I am waiting for your further videos in this playlist and stats, DSA and most importantly 'Optimization' .

finally I completed this calculas series . thank you Dr. Jon Krohn ❤

By the end of the video (around @9:45), the relationship between (non-zero) singular values to eigendecomposition shouldn't point to eigenVALUES instead of eigenVECTORS?

nice jon well explaiand

❤❤❤❤lovely

if you are looking for a good math for data science of ml these is the best just follow him blindlly...............................................!

Knowing where all of this is applied in the business world, makes it easier to understand. Thank you

It is similar to L2 norm of vectors

Based on the teeth and face movements, if this wasnt 4 years ago I'd say this guy is 100% AI 😂😂

i just came frome 25th video to 1th video just to comment these. if u want to learn math these is the best you can find ...................just blindly follow him

good exp

its just very very good

aaaaan done!

yea, this is fun :)

Where is the new video

nailed it!

Thanks Jon Krohn. Do you have a course detailing learning ML from ground up? Thanks in anticipation of your response, I love your pedagogical skills.

i cant get access to your github notebooks it is not loading it says unable to render

Haaa sweet

4:03 can't understand 😢😢

Hi my college restrictions prevent me from accessing the RUclips videos. Are these learning materials available on anyother platform(apart from youtube). Also could you share the playlist's total runtime? As a non-tech background student aiming for AI/ML engineering, would these videos be suitable for beginners? Thank you.

Hi jon, I not able to use no.dot() method for Tensor variable created using PyTorch if the tensor variables in np.dot() method it show Numpy is not available even though it is available

Thanks for including the Origins of Algebra in this lesson. It was a nice interlude and is trivia gold.

Hello sir, Sir I saw your course on udemy about maths for machine learning I want to take that course but udemy is offering a price which exceeds by budget. Sir, if you have a coupon code which can help me board on a flight towards my dream then kindly provide it to me. Thank you sir and have a good day.

jon i cannot find your original repository i can only find clones, could you please send a link, thank you

1 second ago The code in Pytorch is as follows: import torch A_pt = torch.tensor([[-1,2],[3,-2],[5,7]]).float() A_pt U_pt, d_pt, Vt_pt = torch.linalg.svd(A_pt) U_pt_T = U_pt.T V_pt = Vt_pt.T V_pt D_pt = np.diag(d_pt) D_plus_pt = torch.linalg.inv(D_pt) D_conc_plus_pt = torch.concatenate( (D_plus_pt, torch.tensor([[0.],[0.]])), axis=1 ) A_plus_pt = torch.matmul(V_pt, torch.matmul(D_conc_plus_pt ,U_pt_T)) A_plus_pt I am getting the following result: tensor([[-0.0877, 0.1777, 0.0758], [ 0.0766, -0.1193, 0.0869]]) Can somebody please tell if I am correct?

Why didn't you finish this series.

Isnt algerba also geometric?

sorry to say Sir. Since I am watching this series from the beginning, this is the first video difficult to understand for me. if possible Could you teach me even simpler. ( Previous videos are starting with hands on mathematics then move to python code that way of teaching I really liked it , could you include that method for this video too ? )

Hey Jon. I am trying to understand this field of ML and today is my first day. I know basics of programming . Until this video , i've got absolutely no problem and hoping for it to go smooth. My aim is to prepare myself for a job scenario where i might be put into some AIML works . I wanna be pre-proficient with my basics. Have a good day

Thanks , as a maths noobs its a life saver

Hi @JonKrohnLearns Aside from the signs flipping, I also noticed that when i get different outputs when i use P_val, P_vec = np.linalg.eig(P) P_eig_vec = np.dot(P_vec, P_vec.T) {Less Accurate} And P_eig_vec = np.linalg.eig(np.dot(P, P.T)) {More accurate} Like why is that exactly?, it'd do me a great deal if you could tell me why, thanks in advance

please dont give up on this series :')

i loved it its to easy the way you explain it

can we get the course slides?

Thanks a lot for sharing this video. Your videos helped me to understand Algebra concepts, as a beginner. Appreciate your efforts! Now I am a subscriber ( student ) of your channel.

what an incredible video

Just started learning, at video 11 now, very well explained . Thank you

And how much do u weigh?

ngl, everytime tf is looking like "the fc*k" but not tensor flow. 😭😭

new subscriber jon love tje explanation and the video thank you for putting this out here. hope u get more subscribers! came here from Coursera to solve my doubts and now i think ill complete my rest of machine learning course w your videos. thank you

tnk sirr

Love your work !!! Thank you a lot !!!

this video's will use for aiml crouse