Homework Assignment 1 Due Wednesday, January 24, 2023 at 11:59pm (Pacific Time) Instructions 1. Clonethisdirectorytoyourlocalmachine. 2. Install OCaml following this guide. Report any issues you encounter in the #tech-support channel on 3. Run opam install . –deps-only in the root directory of this homework to install the necessary dependencies. 4. Complete part1.ml through part4.ml by […]
Machine Translated by Google BDML – Final project – WiSe 23/24 December 15, 2023 1 Information about the data set • The data set is available in Ilias compressed as .zip. • The data set is available twice in Ilias: once compressed as .7z and another Sometimes as .zip. It is only necessary to download
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Reflections on last week MapReduce: parallelism framework, divide and conquer • Map: the divide step • Reduce: the aggregate step • Reason: we need to use multiple machines to speed up Frequent itemset mining problem • Association patterns • Two products, two movies, two medicines, etc. Achieved frequent singleton itemset mining in lab3 Minghong Xu,
PART 1: Python Primer¶ Variable definition, manipulation¶ String manipulation¶ For example, let us consider DNA, taking the opportunity to also start using some elementary aspects of Python. Each chain of DNA nucleotides is called a DNA strand, and we refer to the four possible DNA nucleotides using the symbols A G T and C each
Lab Exercises for COMP26020 Part 2: Functional Programming in Haskell Joe Razavi December 8, 2023 The deadline for this lab is 6pm on 16/2/2024. This lab has three exercises, for a total of ten marks. The first two exercises together are worth eight marks, and I advise all students to focus exclusively on these exercises.
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Background MGMTMSA 403: Optimization Assignment 2: Portfolio Optimization Due on Sunday, November 29th, at 11:59pm on CCLE. The file Prices.csv contains monthly prices for 390 stocks, collected over a 5-year period. Each column of the file corresponds to one equity. The first row of the file contains the ticker of each equity, which is a
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Background MGMTMSA 403: Optimization Assignment 3: Predicting Airbnb Prices The file AirbnbTrain.csv contains data on 1700 Airbnb listings in Hollywood, CA. The dataset contains features such as the location (by latitude and longitude), number of guests accomodated, number of beds, and other variables. The dataset also contains the price per night of each Airbnb listing.
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MGMTMSA 403: Optimization Assignment 1: Operating Room Scheduling Due on CCLE by 11:59pm on November 21st. Background A hospital has six departments which require access to surgical facilities: General Surgery, Emer- gency, Neuro-surgery, Opthamology, Oral Surgery, and Otolaryngology. Each department currently shares a set of three operating rooms, and is currently allocated the following amount
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COMP9313: Big Data Management Revisit MyExperience v “Please participate in the myExperience Survey and take the opportunity to share your constructive thoughts on your learning experience. Your contributions help your teachers and shape the future of education at UNSW.” v You can access the survey by logging into Moodle or accessing myexperience.unsw.edu.au directly. v The
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CS6601 Final Exam Professor Thomas Ploetz Fall 2023 1. Before solving the exam, you should read the Ed exam posts for any updated information or clarifications on the exam. 2. You should work on this pdf in parallel with the canvas exam to ensure your work is always backed up. 3. Enter your answers as