Thanks, I appreciate that, I do enjoy teaching. I was definitely going to post more videos but a full course? Hmm... You got me interested... Maybe. Tune in for more please.
would you mind updating the description of the video and including a link to your slides? I have been coming back to this video periodically it would be nice to have something quicker to backtrack to. Very nice video by the way. Keep it up.
Thanks. If the link is not yet shown in the description, here it is: github.com/mediard/education Maybe it takes a while for the description to display a link. The presentation file is also there in the GitHub.
Definitely not. I didn’t use PyTorch here. That is the point. We develop the codes from scratch without using any frameworks so you can learn the basics. Numpy is different. I had to use a few of its simple functions in order to use the vectorization capabilities. You don’t have to learn them in advance though. I think one can understand them as they go through the codes. Without the Numpy functions the for loops for computing matrix multiplication would take forever in Python “interpreter”.
If you have a good grasp of linear algebra and calculus including some partial derivatives, this video is a great place to start. If not, I would recommend Andrew Ng’s Machine Learning Specialization program at Coursera.
Needed this the most. Thank you very much. I am spending 1-2 hours a day trying to learn ML/AI
Glad you found it helpful! Keep up the good work. And don't forget to do some actual projects and work. That's what helped me a lot.
Glad to see you like it. Subscribe to watch the upcoming ones.
thank u for sharing your knowledge.
My pleasure
drop a ml/deep learning course at this point mate.
you are good at explaining things
Thanks, I appreciate that, I do enjoy teaching. I was definitely going to post more videos but a full course? Hmm... You got me interested... Maybe. Tune in for more please.
would you mind updating the description of the video and including a link to your slides? I have been coming back to this video periodically it would be nice to have something quicker to backtrack to. Very nice video by the way. Keep it up.
Thanks. If the link is not yet shown in the description, here it is: github.com/mediard/education Maybe it takes a while for the description to display a link. The presentation file is also there in the GitHub.
Do I have to learn pytorch, numpy before start
Definitely not. I didn’t use PyTorch here. That is the point. We develop the codes from scratch without using any frameworks so you can learn the basics.
Numpy is different. I had to use a few of its simple functions in order to use the vectorization capabilities. You don’t have to learn them in advance though. I think one can understand them as they go through the codes. Without the Numpy functions the for loops for computing matrix multiplication would take forever in Python “interpreter”.
Where do i start if I'm beginner
If you have a good grasp of linear algebra and calculus including some partial derivatives, this video is a great place to start. If not, I would recommend Andrew Ng’s Machine Learning Specialization program at Coursera.
Great Video, Thank you!!!
Thanks for the comment.
Subscribed. this is wonderful content!
Glad you like it :-)
Thank You
Happy to see you like it.
Thanks!
You're welcome.