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BEGIN:VEVENT
UID:20260114T220631EST-3259BexK85@132.216.98.100
DTSTAMP:20260115T030631Z
DESCRIPTION:*** Registration Closed***MyInvolvement pages are for in-person
  attendees only. To register for the online session\, please use the Micro
 soft Forms link:Participants that are not part of the 海角社区 Community are
  also invited to register with the Microsoft Forms link.聽'Artificial Intel
 ligence is the new electricity.'聽- Andrew Ng\, Stanford Adjunct Professor聽
 Machine learning (ML) is the science of developing intelligent computers t
 hat can 'learn' through experience. ML crucially improved our understandin
 g of big data in the past decade and led to many essential technologies in
  our daily lives\, such as speech recognition\, recommender systems\, and 
 personal assistants. In this workshop\, you will learn about principles of
  machine learning and gain practice in implementing them for the real-worl
 d problems. We will start the workshop by implementing a fundamental machi
 ne learning algorithm known as multi-layer perceptrons to gain intuition a
 bout how machines learn. Then\, we will cover optimization and regularizat
 ion techniques to learn the underlying principles of machine learning and 
 discuss how we can make algorithms more intelligent.Prerequisite(s)-聽Famil
 iarity with Python (i.e.\, used Python and wrote couple scripts before)-聽B
 asic understanding of calculus and linear algebra (i.e.\, knowing what a m
 atrix and derivative is)- Study the pre-workshop exercise (Intro to Google
  Colab & Pytorch\, estimated time: ~35 - 60 mins)System/Installation Requi
 rements:聽We will do the workshop exercises on Google Colab. Colab is a Jup
 yter Notebook-like environment running on your web browser developed by th
 e Google Research team. So\, the only requirement for the workshop is havi
 ng a Gmail account and being signed in to your Gmail account on your prefe
 rred web browser.聽聽**IMPORTANT NOTICE: Attendance for 海角社区 graduate stud
 ents and postdoctoral fellows is subsidized by Graduate and Postdoctoral S
 tudies. All other attendees such as undergraduate students\, interns and/o
 r graduate students from other institutions are required to purchase a tic
 ket to cover organizational and staffing costs. To complete your registrat
 ion\, 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 gi
 ven up your spot.
DTSTART:20251124T150000Z
DTEND:20251124T190000Z
LOCATION:Education Building\, QC\, Canada\, Montreal\, H3A 1Y2\, 3700 rue M
 cTavish
SUMMARY:Intro to Machine Learning
URL:/involvement/channels/event/intro-machine-learning
 -368581
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