I've seen many Big O notation explainer vids on RUclips, like Hackerank's and CS Dojo, but this one by far is the best for me. Explanation is so simple and concise. Great one Joma!
Sir reviewer of the manuscript asked me this question "Please compare your proposed machine learning model with other based method in term of time complexity? Calculate the time complexity of your algorithm", Can you please help me how to address this question?
He explained what my teachers couldn’t in less than 11 minutes. That’s pretty damn efficient.
that was so simple to understand thank you so much!
This is the best big o notation explanation i have ever seen
I think so too. He's like those maths lecturers you wouldn't dare miss their lectures. Pure sweet study
please upload a lot more to this channel, big fan
Wow, JomaClass is literally my lecture for the week for my online CS class. What a time to be alive LMAO
By far the best explonation of the topic. Wierd that it only has 28k views.
Best tutorial on big O I've yet to encounter, thanks!
After watching this, I am just amazed I had such long-standing trouble with this concept. So clearly presented. Thanks so much :)
I've seen many Big O notation explainer vids on RUclips, like Hackerank's and CS Dojo, but this one by far is the best for me. Explanation is so simple and concise. Great one Joma!
the best video i've ever seen keep going man
So simple to understand. Thanks a lot!
Really great explanations and animations. Thank you and cant wait for more!
Amazing man! Please continue more.
This video is one of best video i ever gone through ,
u make videos crisp to the point ,overall great video ❤️
This is amazing and so easy to understand. Thank you very much
this is one of the amazing presentations from Joma
Nice Video. I love how you use animation to make it simple to understand. :)
amazing power of synthesis to explain something that is somewhat complex, into simple words with animations. perfect! keep going
best video seen on this topic
Great video.
I really think this is the best explanation of the time complexity. Damn Joma Oppa. Big up man
That was darn good!
Hey Joma, Love the content. I just wanted to ask what software are you using for animations ?
You made it incredibly simple to understand, I am thinking 🤔 how much time it would had taken to you to understood
i'm getting crazy excited! hope i could get my 100$ sooner so can jump in to your course wagon
Excellent explanation bro
thanks for sharing :)
this was super clearly explained thank you
THANK YOU🙏🏻❣❣❣
Awesome, did you make the content using ppt?
Thanks for uploading this video I have problem to understand O(n) notation. Upload more videos like this. Big PP bro
Wow..you should do more videos..good job (y)
Thank you!
Thank you brother .
Finally inner peace 😌
Does anyone know which software Joma used to create this video? The amination is very engaging and smooth.
Thank you very much it was simple and easy to understand
Very helpful, thank you!
Amazing
O(Joma) is the time complexity of how much faster I was able to understand this than school.
Joma - How did you create these animations? Awesome vid
Big fan from Pakistan
good job
What software/programme did you use to create the presentation of this video?
looks like a powerpoint with really good transitions
@@dibri You sure?
It's probably safe to assume manim
@@Mot-dh5sx I don't know what to say, manim looks different from what is being used in this video.
How did you animate locker and key part in video ?
I like the video , I was happy to see so smooth animation
Where are more video my Joma?
Big O-bama
Which software do you use to create these videos animations?
Nice, thx
Very cool, but can you write code example of O(log n) and O(n log n)?
how do you create these animations?
how to create like this videos?
I would like to request those who have unliked this video to take them back.
Wow😲❤❤❤❤❤❤❤❤❤❤❤❤❤❤❤❤❤❤❤❤❤❤❤❤❤❤again
Sir reviewer of the manuscript asked me this question "Please compare your proposed machine learning model with other based method in term of time complexity? Calculate the time complexity of your algorithm", Can you please help me how to address this question?
I already know this but I am still watching lol
"linear" 😂😘😘
Is there a reason its big O, not big T or something?
can you please upload another video on hash tables please 🥺🥺🥺🥺🥺
Noice