Phys 10 Undergraduate Seminar

Friday, March 17, 2023 11:30 am - 11:30 am EDT (GMT -04:00)

Student Seminar - Tom Nyugen, 2A Honours Physics

machine learning poster (decorative)
The field of machine learning has witnessed unprecedented growth and has been increasingly adopted by various industries to automate and optimize decision-making processes. In this presentation, we will explore the fundamental concepts and techniques in machine learning, including supervised and unsupervised learning. We will also discuss the challenges and limitations in implementing machine learning algorithms, such as overfitting and bias. The presentation will highlight some of the recent developments and applications of machine learning in different domains. The audience will gain an understanding of the key concepts in machine learning and the current state of the art, which will help them to appreciate the potential of this exciting field and its implications for the future.

All are welcome to attend!