STAT318/462 — Data Mining Dr G ́abor Erd ́elyi University of Canterbury, Christchurch, Course developed by Dr B. Robertson. Some of the figures in this presentation are taken from “An Introduction to Statistical Learning, with applications in R” (Springer, 2013) with permission from the authors: G. James, D. Witten, T. Hastie and R. Tibshirani. G. […]
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End-of-year Examinations, 2017 STAT318-17S2 (C) / STAT462-17S2 (C) Family Name First Name Student Number Venue Seat Number _____________________ _____________________ |__|__|__|__|__|__|__|__| ____________________ ________ No electronic/communication devices are permitted. No exam materials may be removed from the exam room. Mathematics and Statistics EXAMINATION End-of-year Examinations, 2017 STAT318-17S2 (C) Data Mining STAT462-17S2 (C) Data Mining Examination Duration: 120
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STAT318/462 1 STAT 318/462: Data Mining Assignment 1 Due Date: 23.59pm, 15th August, 2021 Please submit your assignment as a single pdf on Learn. You may do the assignment by yourself or with one other person from the same cohort (300- level students cannot work with 400-level students). If you hand in a joint assignment,
STAT318 — Data Mining Dr University of Canterbury, Christchurch, Some of the figures in this presentation are taken from “An Introduction to Statistical Learning, with applications in R” (Springer, 2013) with permission from the authors: G. James, D. Witten, T. Hastie and R. Tibshirani. , University of Canterbury 2021 STAT318 — Data Mining ,1 /
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STAT318/462 1 STAT 318/462: Data Mining Assignment 3 Due Date: 11-59pm, 25th October, 2021 Your assignment must be submitted electronically to the STAT318/462 Learn page, under Assignment 3. You may do the assignment by yourself or with one other person from the same cohort (300- level students cannot work with 400-level students). If you hand
End-of-year Examinations, 2019 STAT318 / STAT462-19S2 (C) Family Name First Name Student Number Venue Seat Number _____________________ _____________________ |__|__|__|__|__|__|__|__| ____________________ ________ No electronic/communication devices are permitted. No exam materials may be removed from the exam room. Mathematics and Statistics EXAMINATION End-of-year Examinations, 2019 STAT318 / STAT462 -19S2 (C) Data Mining Examination Duration: 120 minutes Exam
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Mid-year Examinations, 2019 STAT318-19S1 (C) / STAT462-19S1 (C) Family Name First Name Student Number Venue Seat Number _____________________ _____________________ |__|__|__|__|__|__|__|__| ____________________ ________ No electronic/communication devices are permitted. No exam materials may be removed from the exam room. Mathematics and Statistics EXAMINATION Mid-year Examinations, 2019 STAT318-19S1 (C) Data Mining STAT462-19S1 (C) Data Mining Examination Duration: 120
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APS1070 Foundations of Data Analytics and Machine Learning Fall 2021 Lecture 1: • Introduction • CourseOverview • Machine Learning Overview • K-nearestNeighbourClassifier Prof. 1 2 Instruction Team Instructor: Prof. Head-TA: Zadeh TA: TA: Haoyan (Max) A: TA: Get to know the instruction team: https://q.utoronto.ca/courses/223861/pages/course-contacts 3 Communication ➢Preferred contact method for a quick response: Piazza; 1.
Time allowed: TWO HOURS Number of Pages: 37 Read these instructions carefully. • Answer all FOUR questions. • All questions carry equal marks. • Calculators are permitted. • Use black or blue ink only. • Show all working. • Write your answers in the spaces pro- vided. • You may use the left-hand pages for
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STAT318/462 — Data Mining Dr G ́abor Erd ́elyi University of Canterbury, Christchurch, Course developed by Dr B. Robertson. Some of the figures in this presentation are taken from “An Introduction to Statistical Learning, with applications in R” (Springer, 2013) with permission from the authors: G. James, D. Witten, T. Hastie and R. Tibshirani. G.
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