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UID:20260517T115231EDT-7130kk8ZUU@132.216.98.100
DTSTAMP:20260517T155231Z
DESCRIPTION:***Registration Closed***  MyInvolvement pages are for in-perso
 n attendees only. To register for the online session\, please use the Micr
 osoft Forms link:Participants that are not part of the McGill Community ar
 e also invited to register with the Microsoft Forms link. 'Artificial Inte
 lligence is the new electricity.' - Andrew Ng\, Stanford Adjunct Professor
  Machine learning (ML) is the science of developing intelligent computers 
 that can 'learn' through experience. ML crucially improved our understandi
 ng of big data in the past decade and led to many essential technologies i
 n our daily lives\, such as speech recognition\, recommender systems\, and
  personal assistants. In this workshop\, you will learn about principles o
 f machine learning and gain practice in implementing them for the real-wor
 ld problems. We will start the workshop by implementing a fundamental mach
 ine learning algorithm known as multi-layer perceptrons to gain intuition 
 about how machines learn. Then\, we will cover optimization and regulariza
 tion techniques to learn the underlying principles of machine learning and
  discuss how we can make algorithms more intelligent.Prerequisite(s)- Fami
 liarity with Python (i.e.\, used Python and wrote couple scripts before)- 
 Basic understanding of calculus and linear algebra (i.e.\, knowing what a 
 matrix and derivative is)- Study the pre-workshop exercise (Intro to Googl
 e Colab & Pytorch\, estimated time: ~35 - 60 mins)System/Installation Requ
 irements: We will do the workshop exercises on Google Colab. Colab is a Ju
 pyter Notebook-like environment running on your web browser developed by t
 he Google Research team. So\, the only requirement for the workshop is hav
 ing a Gmail account and being signed in to your Gmail account on your pref
 erred web browser.  **IMPORTANT NOTICE: Attendance for McGill graduate stu
 dents and postdoctoral fellows is subsidized by Graduate and Postdoctoral 
 Studies. All other attendees such as undergraduate students\, interns and/
 or graduate students from other institutions are required to purchase a ti
 cket to cover organizational and staffing costs. To complete your registra
 tion\, you must e-transfer $10 (undergraduate student/trainee) $25 (staff)
  or $100 (faculty) to workshop-micm [at] mcgill.ca within 24 hours of RSVP
 'ing to this event. If we do not receive your e-transfer\, you will have g
 iven up your spot.Online Event InstructionsMyInvolvement pages are for in-
 person attendees only. To register for the online session\, please use the
  Microsoft Forms link.
DTSTART:20250730T130000Z
DTEND:20250730T170000Z
LOCATION:Education Building\, QC\, Canada\, Montreal\, H3A 1Y2\, 3700 rue M
 cTavish
SUMMARY:Intro to Machine Learning
URL:https://www.mcgill.ca/involvement/channels/event/intro-machine-learning
 -366041
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