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COMP9417 – Machine Learning Homework 1: Regularized Optimization & Gradient Methods Introduction In this homework we will explore gradient based optimization. Gradient based algorithms have been crucial to the development of machine learning in the last few decades. The most famous exam- ple is the backpropagation algorithm used in deep learning, which is in fact
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Finding Similar News Article Headlines Using Pyspark In this problem, we are still going to use the dataset of Australian news from ABC. Similar news may appear in different years. Your task is to find all similar news article headline pairs across different years. Background: Set similarity self-join Given a collection of records R, a
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FIT5037: Network Security Assignment 1 : Securing Netcat Semester S2B/T3 2023 Submission Guidelines • Deadline: Assignment report and all code files are due on Friday 4th August, 11:55 PM (GMT+8). • Submission Files: 1. AreportinPDFfileformatofmaximum6pages.Theappendices(forfullcodelistingsandanyadditional screenshots) are not included in the page count. Copyright By PowCoder代写 加微信 powcoder 2. Pythoncodefile(s)foryourenhancedclient-serverprogram,writtenorrefactoredtomeetspecificsecurity requirements, as described below. 3.
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COMP9319 2023T2 Assignment 2: BWT Backward Search (Run-length Encoded) Your task in this assignment is to create a search program that implements BWT backward search, which can efficiently search a run-length encoded and BWT transformed (RLB) record file without decoding the file back to a larger form. The original record file as plain text file
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Lecture 3, Part 2: Training a Classifier Roger Grosse 1 Introduction Now that we’ve defined what binary classification is, let’s actually train a classifier. We’ll approach this problem in much the same way as we did linear regression: define a model and a cost function, and minimize the cost using gradient descent. The one thing
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CSC311 Fall 2021 Course Information Introduction to Machine Learning (CSC 311) University of Toronto, Fall 2021 Course Information Important Links Copyright By PowCoder代写 加微信 powcoder • Course web site: http://www.cs.toronto.edu/~rgrosse/courses/csc311_f21/ • Markus: https://markus.teach.cs.toronto.edu/csc311-2021-09/ • Piazza: https://piazza.com/utoronto.ca/fall2021/csc311 • Quercus: https://q.utoronto.ca/courses/234120 • Zoom: See Quercus. All course materials (schedule, lecture and tutorial slides, readings, homeworks) can be
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CSC311 Fall 2021 Final Project Final Project Deadline: Friday, Dec. 3, at 11:59pm Submission: You need to submit the following files through MarkUs1: Copyright By PowCoder代写 加微信 powcoder • Your answers to Part A and B, as a PDF file titled final_report.pdf. You can produce the file however you like (e.g. LATEX, Microsoft Word, scanner),
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Introduction to Ouantum Information Science Homework 10 1. Shor’s Algorithm -Anything That Can Go Wrong Will Go Wrong Copyright By PowCoder代写 加微信 powcoder a) [3 Points] What can go wrong if the function f satisfies that if s divides p – q then f(p) = f(g), but it’s not an “if and only if”: i.e.
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