Displaying 497 resources
Set Theory
This lecture overviews Set Theory that has many applications in Probability/Statistics, Machine Learning and Computer Vision.
There will be Artificial Emotional Intelligence
This resource corresponds to 4th video from the AI Excellence Lecture Series.
Explore the concept of Artificial Emotional Intelligence (AEI), where machines are not only capable of understanding human emotions but also responding to them in meaningf
Image and Video Generation: A deep Learning Approach
This resource corresponds to 7th video from the AI Excellence Lecture Series.
This video explores the fascinating realm of image and video generation through the lens of deep learning.
Introduction to Machine Learning
This lecture will cover the basic concepts of Machine Learning to alleviate inconsistencies towards concept and notation accuracy. Supervised, self-supervised, unsupervised, semi-supervised learning. Multi-task Machine Learning.
Natural Selection
This lecture overviews Natural Selection simulation that has many applications in ecology and sociology studies.

Algorithms with Julia
This book provides an introduction to modern topics in scientific computing and machine learning, using JULIA to illustrate the efficient implementation of algorithms.