Machine Intelligence - Lecture 18 (Evolutionary Algorithms)

SYDE 522 – Machine Intelligence (Winter 2019, University of Waterloo)

Target Audience: Senior Undergraduate Engineering Students


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

[JaketheBakedSsnake]

Thank you for making your lectures available! Since you asked for suggestions, I would recommend repeating your students questions before answering them and I found the constant panning of the camera distracting. Other than that, 10/10!!

[burakkara]

Very useful lecture. This is what ı searched for, thank you sir.

[nohinlab]

Woow Great lecture thanks a lot for sharing <3

[lovefrommars]

Best teacher...very easy and nicely explained...thank you sir ...pls make videos on AI data scinece and related subjects.plsss...and love from INDIA 🇮🇳❤🇨🇦

[mikebellamy]

I was getting hung up on _"the God of randomness"_ and _"social Darwinism"_ and Adolf Hitler etc.. Like did you know Josef Mengele was a double doctorate and Konrad Lorenz won a Nobel Prize in 1973 for his _"discoveries in individual and social beahvior patterns"_ based on evolution ! Who is _"Mother Nature"_ anyway? but then at 28:10 _"computers become faster and faster and more stupid every day"_ rang a bell for me..