BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//132.216.98.100//NONSGML kigkonsult.se iCalcreator 2.20.4//
BEGIN:VEVENT
UID:20251108T201822EST-3346GuXlFK@132.216.98.100
DTSTAMP:20251109T011822Z
DESCRIPTION:MyInvolvement pages are for in-person attendees only. To regist
 er for the online session\, please use the Microsoft Forms link:Participan
 ts that are not part of the 海角精品黑料 Community are also invited to register 
 with the Microsoft Forms link.聽'Artificial Intelligence is the new electri
 city.'聽- Andrew Ng\, Stanford Adjunct Professor聽Machine learning (ML) is t
 he science of developing intelligent computers that can 'learn' through ex
 perience. ML crucially improved our understanding 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 th
 is workshop\, you will learn about principles of machine learning and gain
  practice in implementing them for the real-world problems. We will start 
 the workshop by implementing a fundamental machine learning algorithm know
 n as multi-layer perceptrons to gain intuition about how machines learn. T
 hen\, we will cover optimization and regularization techniques to learn th
 e underlying principles of machine learning and discuss how we can make al
 gorithms more intelligent.Prerequisite(s)-聽Familiarity with Python (i.e.\,
  used Python and wrote couple scripts before)-聽Basic understanding of calc
 ulus and linear algebra (i.e.\, knowing what a matrix and derivative is)- 
 Study the pre-workshop exercise (Intro to Google Colab & Pytorch\, estimat
 ed time: ~35 - 60 mins)System/Installation Requirements:聽We will do the wo
 rkshop exercises on Google Colab. Colab is a Jupyter Notebook-like environ
 ment running on your web browser developed by the Google Research team. So
 \, the only requirement for the workshop is having a Gmail account and bei
 ng signed in to your Gmail account on your preferred web browser.聽聽**IMPOR
 TANT NOTICE: Attendance for 海角精品黑料 graduate students and postdoctoral fell
 ows is subsidized by Graduate and Postdoctoral Studies. All other attendee
 s such as undergraduate students\, interns and/or graduate students from o
 ther institutions are required to purchase a ticket to cover organizationa
 l and staffing costs. To complete your registration\, you must e-transfer 
 $10 (undergraduate student/trainee) $25 (staff) or $100 (faculty) to works
 hop-micm [at] mcgill.ca within 24 hours of RSVP'ing to this event. If we d
 o not receive your e-transfer\, you will have given up your spot.
DTSTART:20251124T150000Z
DTEND:20251124T190000Z
LOCATION:Education Building\, CA\, QC\, Montreal\, H3A 1Y2\, 3700 rue McTav
 ish
SUMMARY:Intro to Machine Learning
URL:/desautels/channels/event/intro-machine-learning-3
 68581
END:VEVENT
END:VCALENDAR