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| Name | Machine Intelligence - Lecture 18 (Evolutionary Algorithms) |
| Video Uploader | Video From Kimia Lab |
| Upload Date | This Video Uploaded At 13-04-2019 12:52:28 |
| Video Discription | SYDE 522 – Machine Intelligence (Winter 2019, University of Waterloo) Target Audience: Senior Undergraduate Engineering Students Instructor: Professor H.R.Tizhoosh (http://kimia.uwaterloo.ca/) Course Outline - The objective of this course is to introduce the students to the main concepts of machine intelligence as parts of a broader framework of “artificial intelligence”. An overview of different learning, inference and optimization schemes will be provided, including Principal Component Analysis, Support Vector Machines, Self-Organizing Maps, Decision Trees, Backpropagation Networks, Autoencoders, Convolutional Networks, Fuzzy Inferencing, Bayesian Inferencing, Evolutionary algorithms, and Ant Colonies. Lecture 18 - Evolutionary Algorithms [3-NiZPbkr7A] |
| Category | Education |
| Tags | Genetic Algorithms | Evolution | Fitness | Course | Lecture | Waterloo | Intelligence | mutation | crossover | GA | AI | Population | Evolutionary |
