ai to AI 3.0

What is it?

What did we do?

We started off with a 60 minute teaching session, followed by a team contest. The session explored fundamental mathematics and how it is applied in AI.

We also explored the fascinating world of AI through concepts like Linear Algebra, Probability and Neural Networks, PCA.

Winners

1st: Madhav Bharadwaj and P Karthikeya

2nd: Khaja Ghonse and P Karunya

3rd: Manoj NH and Navin Kumar L

These are the slides used in the event.  They include topics such as eigenvectors/eigenvalues, variance, covariance (taught by the Mathematics Club) and PCA (taught by the AI club). 

Unfortunately your browser does not support displaying PDFs ๐Ÿ™ You still can use the button nearby to open the PDF separately.

Unfortunately your browser does not support displaying PDFs ๐Ÿ™ You still can use the button nearby to open the PDF separately.

This is the Problem Set provided during the second half of the event. It consisted of problems based on the various topics taught. Participants were given one hour to try and solve it.

Gallery