Can you do 1) Optimization: Gradient descent and other optimization techniques (for finding model parameters). 2) Multivariate Calculus: Partial derivatives and gradients for complex models. 3) Set Theory and Logic: Underpin decision-making and classifications?
Keep up the good shows and you will get 100s of 1000s of subscribers. One note is to zoom in the code lines as 2/3 of the sxreen is not utilized. Your methodology of linking math with ML concepts together with the code such as mentioning L1 and L2 norms with similarity prediction is perfect. Thank you 👍
Sir This video is really useful I was looking for a youtube channel where the person teach , Coding and Maths together, I'm happy that I found this Channel 😊 Please do more videos
I started watching your content from the video about why maths is important for AI ML... and then I started the course of Neural Network & Deeplearning by andrew ng on coursera.. and got stuck at the maths part and then I saw your other video about 6 months AI ML roadmap... and since I already covered python 2 months back, I started with a new course on coursera, linear algebra for ML... and now your video comes in at a perfect time.
The name derives from the distance a taxi has to drive in a rectangular street grid to get from the origin to a particular point. It is also known as the Manhattan norm because Manhattan has perhaps the most famous rectangular street grid.
Here's the playlist for math in AI and ML:
ruclips.net/p/PLRfh8v6mu_F1tC9pX3zML149ddL0TxdCV
What concepts you want me to cover?
Please cover topics related to optimisations
@@affanazam209 पहले विडियो तो पुरा देखा ले दादा...
36 min का विडियो 20 min में ही first comment कर दिया 😂😂😂😂
@@DrNO0 the comment was not written for you
we want you to cover whole maths for AI/ML
Can you do 1) Optimization: Gradient descent and other optimization techniques (for finding model parameters).
2) Multivariate Calculus: Partial derivatives and gradients for complex models.
3) Set Theory and Logic: Underpin decision-making and classifications?
Keep up the good shows and you will get 100s of 1000s of subscribers. One note is to zoom in the code lines as 2/3 of the sxreen is not utilized.
Your methodology of linking math with ML concepts together with the code such as mentioning L1 and L2 norms with similarity prediction is perfect. Thank you 👍
Thank you so much!
Sir This video is really useful
I was looking for a youtube channel where the person teach , Coding and Maths together, I'm happy that I found this Channel 😊
Please do more videos
Noted!
I started watching your content from the video about why maths is important for AI ML... and then I started the course of Neural Network & Deeplearning by andrew ng on coursera.. and got stuck at the maths part and then I saw your other video about 6 months AI ML roadmap... and since I already covered python 2 months back, I started with a new course on coursera, linear algebra for ML... and now your video comes in at a perfect time.
I'm glad to hear that! Keep going. You got this!
@@ChemCoder404 but there are tons of things which is going over my head... not sure how long will I last with this..
Fellas....The much awaited video arrives ❤
Thank you. This course is much needed
Happy to help.
thanks bro this is a great work , we want part 2
Thank you. Stay tuned!
I was waiting for this... thanks
Thank you for your support.
Thank you for the tutorial, can you do a step by step implementation of Research papers like Attention is all you need?
That would be good. Especially if more folks are interested.
Thankyou so much for your support.😊❤
Thank you.
The name derives from the distance a taxi has to drive in a rectangular street grid to get from the origin to a particular point. It is also known as the Manhattan norm because Manhattan has perhaps the most famous rectangular street grid.
Awesome! Thank you for sharing that!
To continue this🎉
Thank you.
Thank you chem.
Thank you for your support!
Your handwriting is good
Thank you 😄