TEMASEK POLYTECHNIC SCHOOL OF INFORMATICS & IT DIPLOMA IN BIG DATA MANAGEMENT & GOVERNANCE AY 2018/2019 Oct Semester Programming for Big Data CIG2C02 Assignment (70%) AY2018/2019 Oct Semester Programming for Big Data (CIG2C02) Page 1 Table of Contents 1. 2. 3. 4. 4.1 4.2 5. 5.1 5.2 Annex A – Cover Page Sample for Group […]
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2018 Numerical Linear Algebra Lab #1 Corrected Due Oct. 11. Turn in the program listing and output. 1. First, download the matrix ck656.mtx from the Matrix Market Collection. http://math.nist.gov/MatrixMarket It is NEP collection, CHUCK set. It is real unsymmetric, and nonsingular. The matrix The first line contains the name of the matrix, second line, the
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ISE 3614 – Lab 1: Hick’s Law Instructor: Nathan Lau, PhD TA: Nayara Faria and Han-Hsien Chen Grado Department of Industrial and Systems Engineering October 02, 2018 Lab 1 Report Tutorial • Please, follow instructions from Laboratory/Technical Report Writing Guidelines on canvas; • You do not need to include Raw Data on the appendix; •
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Internet Engineering Task Force (IETF) Request for Comments: 7540 Category: Standards Track ISSN: 2070-1721 M. Belshe BitGo R. Peon Google, Inc M. Thomson, Ed. Mozilla May 2015 Abstract Hypertext Transfer Protocol Version 2 (HTTP/2) This specification describes an optimized expression of the semantics of the Hypertext Transfer Protocol (HTTP), referred to as HTTP version 2
COMP90038 Algorithms and Complexity Lecture 17: Hashing (with thanks to Harald Søndergaard & Michael Kirley) Andres Munoz-Acosta munoz.m@unimelb.edu.au Peter Hall Building G.83 Recap • We talked about using some memory space (in the form of extra tables, arrays, etc.) to speed up our computation. • Memory is cheap, time is not. • Sorting by counting
COMP90038 Algorithms and Complexity Lecture 17: Hashing (with thanks to Harald Søndergaard & Michael Kirley) Andres Munoz-Acosta munoz.m@unimelb.edu.au Peter Hall Building G.83 Recap • We talked about using some memory space (in the form of extra tables, arrays, etc.) to speed up our computation. • Memory is cheap, time is not. • Sorting by counting
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Microsoft Word – CISC6325 Final ExamFall2018 updated.docx CISC6325 Final Exam, Fall 2018 Part 1: (clarifications/corrections added in this version are in bold face) Problem 1: Data Aggregation with SQLite, Python, R, Excel Given the three tables below (same as those in Hw7. Note in Hw7, the blank line in Catalog table was an accident. No
Homework 2, due September 12th, 11:59pm August 30, 2018 1. Use a programming language or package where random forests can be trained and applied. Examples include Python (scikit-learn package), R and Matlab. Using the training and test sets specified in the syllabus, perform the following tasks: a) On the madelon dataset, for each of k
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In this homework, we will work with the “tweets-2017-1004” network. This is a set of 318 hashtags mined from Twitter on 10/4/2017. It is a one-mode hashtag projection of the user-hashtag bipartite network. In other words, there is a link between two hashtags if a given user used both of them within the data gathering
BABS 502 – Forecasting and Time Series Prediction Final project: Forecasting Energy use for the Vancouver International Airport (YVR) Student name: Student number: Introduction What to include in the introduction: objective of the analysis, background information Exploratory analysis Create plots – what patterns do you see? What could
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