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UID:20251027T111815EDT-386837PW4V@132.216.98.100
DTSTAMP:20251027T151815Z
DESCRIPTION:Overview:\n\nThis tutorial aims at providing an accessible intr
 oduction to various machine learning methods and applications using the pr
 ogramming language R in RStudio. The core of the course focuses on supervi
 sed learning methods such as regression and classification with cross-vali
 dation.\n\nAt the end of the tutorial\, participants will be able to apply
  what they have learnt\, as well as feel confident enough to explore and a
 pply new methods.\n\nPrerequisites: \n	      - Basic knowledge of statistic
 s: descriptive statistics (mean\, median\, mode\, variance and standard de
 viation)\, probability (distributions\, conditional probability)\, inferen
 tial statistics (hypothesis testing\, confidence interval) and regression 
 analysis (simple linear regression and multiple regression).\n	      - Intr
 oductory knowledge of R and RStudio (basic syntax and plotting functions).
  \n\n\nDate: Wednesday\, 29 March 2023.\n	Time: 12:30 p.m. to 2:30 p.m.\n	Lo
 cation: hybrid (in-person at Burnside Hall 1104\, and online via Zoom).\n	I
 nstructor: Peng Tang\, PhD student\, Department of Mathematics&Statistics\
 , º£½Ç¾«Æ·ºÚÁÏ.\n\n\n \n\nRegister\n\n \n
DTSTART:20230329T163000Z
DTEND:20230329T183000Z
SUMMARY:Introduction to Machine Learning in R
URL:/cdsi/channels/event/introduction-machine-learning
 -r-346474
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