Linear Algebra Resources — Topic 41 of Machine Learning Foundations

Welcome to the final linear algebra video of my Machine Learning Foundations series! It’s a quick one to leave you with my favorite linear algebra resources so that you can dig deeper into the topics that pique your interest the most, if desired.

[dhanyajnadig]

finished all the 48 videos successfully without losing a pinch of interest. It was your teaching which made it possible. Thank you, sir.

[vuhongson]

I just completed all of your 48 videos, honestly, this is incredible journey. Thank you very much for the series it help me a lot in my work. I hope to see more of your series

[mikaznavodya]

Sir,
I watched all your linear algebra playlist tutorial videos. Your explanations are very clear and easy to understand. And thank you very much for keeping this content free. And also I have done all exercises you gave and made a simple short note about the lessons to remind the subject.If you don't mind can I add my note to the LinkedIn.

[kmonish]

Hey Jon, I just completed the Linear Algebra series and it was amazing. I learnt a lot and especially I could get my basics and additional concepts covered. Thanks for this content and hope you would keep-up this work. I am all pumped to attend the rest of the series. Thanks a ton!

[newupdates]

Just completed Your Linear Algebra series all 48 insightful videos, and WOW – what an incredible learning journey! Thank you, Jon, for breaking down complex concepts with such clarity and depth. Your dedication to providing quality educational content shines through every video. Your teaching style is not just informative but also incredibly engaging, making the learning process enjoyable. Grateful for the effort you put into empowering learners like me. Excited to apply these newfound skills

[Dovahkiin]

I have finally finished the 48 video marathon in like 2 Days, which has been invaluable for clarifying the basic yet confusing concepts of linear algebra as I prepare for Data Science course. I would like to Thank You, Jon for all the teachings.

[touheedkhalid]

can't believe that I watched the whole series like a superhit TV show. Great experience. couldn't stop myself from watching these videos until I finished the last video in the series.
Bundle of thanks Jon. See you in next Calculus series

[onifadeernest]

wow! I must commend you, Jon! this is mind blowing. Was fixed to the videos like I am reading an interesting novel. Quite surprised why this series hasn't got that many views. Thanks for an amazing video series!

[bhaargavlakshmanan]

Thank You Jon, for this awesome and well though out content. While covering linear algebra you have also pushed through sufficient python stuffs along. I cannot thank you enough for these resources. Looking forward to learn calculus and derivates the same way!

[finncollins]

This is so great, Thanks Jon. God bless you. I finished your full playlist. This helped me a lot. Thanks so much.

[morningstarz]

one of the best tutorial i ever watched. very easy to follow.

[talhatahir]

Thank you for that incredible course Dr. Krohn! I learned a lot!

[aram]

oh wow i was reading chapter 2 of Goodfellow Deep Learning book. Didn't understand a few stuffs on it so I found your channel. Great content, sir!

[ahmedhassanpsychology]

thanks a lot doctor for your amazing explanation and the videos was short and to the point.
Hope the best for you

[padmanabhanvijendran]

I learned a lot in this series. Thanks a lot.

[motivationadda]

great videos sir still wating for further videos on statistics and further courses for machine learning

[juanfranciscorinaldi]

Thanks and thanks amazing, i really learn a lot with your videos.

[justsimple]

Voila. I completed the Linear Algebra series but confused should I pursue the next series if I'm on the path of learning AI.

Thanks, once again Krohn for your wonderful work :)

[michaelmuller]

Watched the playlist, content was well explained, thank you!

[MohitSharma-uwzw]

is this course enough for applying linear algebra in machine learning specially for beginner to intermediate level or i have to study the recommendations for further study also?