Machine Learning introduction

Machine Learning introduction

Machine Learning (ML) models are gaining popularity across all domains to harness the power of available data. This workshop is intended to give a practical introduction to ML theory and application

March 18, 2021

1 PM- 5 PM

Instructor: Abdelrahman Ayad

Register: https://mcgill.zoom.us/meeting/register/tZcvceuurT4tGdVCpuzsbYufhefzYOIn04oh

By the end of this workshop the students should be able:
Describe the main concepts of Machine Learning
Explain the motivations and fundamental tasks of ML
Name 2-3 ML algorithms and describe the main ideas
Formulate a simple ML model
Code a simple ML algorithm in Python using open-source librarie

This workshop does not require any experience or background in ML, however, any experience in programming (Python) is recommended.

Instructions for any additional tools installation (e.g., jupyter notebook) will be provided before the workshop.
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By registering for this event, you agree with the following code of conduct

Code of Conduct
Our event is dedicated to providing a harassment-free conference experience for everyone, regardless of gender, gender identity and expression, age, sexual orientation, disability, physical appearance, body size, race, ethnicity, religion (or lack thereof), or technology choices. We do not tolerate harassment of conference participants in any form. Event participants violating these rules may be sanctioned or expelled from the event without a refund at the discretion of the conference organizers.