Intro to Artificial Intelligence - Evolutionary Computing - Lecture 11
Offered By: Dave Churchill via YouTube
Course Description
Overview
Explore evolutionary computing in this lecture from the Introduction to Artificial Intelligence course at Memorial University. Delve into algorithmic techniques and data structures used in modern AI problem-solving, with a focus on evolutionary algorithms. Learn how these methods are applied to simple games and real-world scenarios. Gain insights from Professor David Churchill as he covers key concepts in evolutionary computing, its applications, and its role in the broader field of artificial intelligence. Understand the principles behind genetic algorithms, evolutionary strategies, and other related techniques that mimic natural selection to solve complex optimization problems.
Syllabus
COMP3200 - Intro to Artificial Intelligence - Lecture 11 - Evolutionary Computing
Taught by
Dave Churchill
Related Courses
Introduction to Artificial IntelligenceStanford University via Udacity Probabilistic Graphical Models 1: Representation
Stanford University via Coursera Artificial Intelligence for Robotics
Stanford University via Udacity Computer Vision: The Fundamentals
University of California, Berkeley via Coursera Learning from Data (Introductory Machine Learning course)
California Institute of Technology via Independent