Primer on AI

Thursday, Nov. 28, 10:30-11:30 a.m.

Online

Are you curious about AI, but not sure if it makes sense for your research, or even where to start? Join us in this session that addresses the basics. We’ll explain the terminology surrounding AI – machine learning, deep learning, natural language processing, neural networks. We’ll discuss the different methods used – from simple models like Naive Bayes, Regression and Decision Trees, to Support Vector Machines and Feed-Forward Neural Networks – and the tradeoffs in choosing one over the other. We’ll also discuss how to make smart decisions in setting up and executing a project using AI, the resources you need, data collection, what it takes for a project to be successful, and how to salvage useful by-products and skills when projects don’t go as planned. Bring your questions!

This talk is oriented to a novice audience, curious about AI and machine learning, but not necessarily math or computer science majors. Methods and techniques are explained using metaphors, examples, and clear language, without diving too deeply into the math and calculus on which these techniques are based.

Join:

https://us02web.zoom.us/j/83789419401?pwd=jCLTDQxm5lZfpHjrATBvWdGDAharRF.1

Meeting ID: 837 8941 9401

Passcode: 556415

Presented by ACENET

Event Listing 2024-11-28 10:30:00 2024-11-28 11:30:00 America/St_Johns Primer on AI Are you curious about AI, but not sure if it makes sense for your research, or even where to start? Join us in this session that addresses the basics. We’ll explain the terminology surrounding AI – machine learning, deep learning, natural language processing, neural networks. We’ll discuss the different methods used – from simple models like Naive Bayes, Regression and Decision Trees, to Support Vector Machines and Feed-Forward Neural Networks – and the tradeoffs in choosing one over the other. We’ll also discuss how to make smart decisions in setting up and executing a project using AI, the resources you need, data collection, what it takes for a project to be successful, and how to salvage useful by-products and skills when projects don’t go as planned. Bring your questions! This talk is oriented to a novice audience, curious about AI and machine learning, but not necessarily math or computer science majors. Methods and techniques are explained using metaphors, examples, and clear language, without diving too deeply into the math and calculus on which these techniques are based. Join: https://us02web.zoom.us/j/83789419401?pwd=jCLTDQxm5lZfpHjrATBvWdGDAharRF.1 Meeting ID: 837 8941 9401 Passcode: 556415 Online ACENET