EECS 189 Introduction to Machine Learning Fall 2020 This homework is due Tuesday, November 24 at 11:59 p.m. 1 Getting Started HW12 Read through this page carefully. You may typeset your homework in latex or submit neatly handwritten/scanned solutions. Please start each question on a new page. Deliverables: 1. Submit a PDF of your writeup, […]
The University of Hong Kong COMP3258: Functional Programming Assignment 3 (IO and Monads) Deadline: 23:55, November 29th, 2020 (HKT) 1 Tic Tac Toe 1.1 Introduction Problem 1. (25 pt.) A tic-tac-toe game is two players (X and O) playing on a 3 by 3 grid in turn, whichever player first assembles 3 pieces in a
The University of Hong Kong COMP3258: Functional Programming Assignment 3 (IO and Monads) Deadline: 23:55, November 29th, 2020 (HKT) 1 Tic Tac Toe 1.1 Introduction Problem 1. (25 pt.) A tic-tac-toe game is two players (X and O) playing on a 3 by 3 grid in turn, whichever player first assembles 3 pieces in a
Assignment 3 • Due Dec 7 by 4pm • Points 9.5 • Submitting on paper Assignment 3: Exploring the Twitterverse Due: Monday, December 7 by 4:00pm (Toronto time) November 24, 2020: Added a clarification to the “Sorting your output” section regarding the ordering of strings in Python. Goals of this Assignment • Practice working with structured files. •
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EECS 189 Introduction to Machine Learning Fall 2020 This homework is due Wednesday, October 14 at 11:59 p.m. HW6 The most important problem on this homework is technically optional if you have already done this and are completely confident in your setup. However, if you are not fully confident, it is worth doing this again
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EECS 189 Introduction to Machine Learning Fall 2020 This homework is due Wednesday, November 11 at 11:59 p.m. 2 Expectation Maximization (EM) Algorithm: A closer look! HW10 Note that this problem appears lengthy. Don’t worry! Several parts are of a tutorial nature and several others are of a demo nature, where we have tried to
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EECS 189 Introduction to Machine Learning Fall 2020 This homework is due Wednesday, September 30 at 11:59 p.m. 2 Tikhonov Regularization and Weighted Least Squares In this problem, we look at Tikhonov regularization from a probabilistic standpoint. HW4 The main goal is to deepen your understanding of how priors and thus the aligned regulariza- tion
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EECS 189 Introduction to Machine Learning Fall 2020 This homework is due Wednesday, October 7 at 11:59 p.m. 2 Kernel PCA HW5 You have seen how to use PCA to do dimensionality reduction by projecting the data to a subspace that captures most of the variability visible in the observed features. The underlying hope is
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EECS 189 Introduction to Machine Learning Fall 2020 This homework is due Tuesday, September 8 at 11:59 p.m. 2 Study Group Icebreaker HW1 Once you have received your group assignment, meet at least once with everyone in the group to introduce yourselves and discuss expectations for the semester. As an icebreaker, everyone should talk about
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EECS 189 Introduction to Machine Learning Fall 2020 This homework is due Wednesday, November 4 at 11:59 p.m. 2 Classification Policy HW9 Suppose we have a classification problem with classes labeled 1, . . . , c and an additional “doubt” categorylabeledc+1.Let f :Rd →{1,…,c+1}beadecisionrule.Definethelossfunction L(f(x),y) = λc 0 if f(x) =