1.1 • • 1.2 1. 2. 3. 4. 1.3 • • 1.4 • • People Professor Wes Turner (12 noon lecture), Professor Chuck Stewart (2 pm lecture) TAs and programming mentors: see course website Learning Outcomes Demonstrate proficiency in the purpose and behavior of basic programming constructs. Design algorithms and programs to solve small-scale computational […]
CS 200 Lecture 09 FileMaker vs SQL & Reports CS 200 Spring 2020 1 09-Advanced Databases Miscellaneous Notes Abbreviations • aka also known as • DBMS DataBase Management System • mutatis mutantis with the necessary changes having been made CS 200 Spring 2020 2 09 – Advanced Databases Administrivia Please read and highlight BEFORE lab
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7CCSMBDT – Big Data Technologies Practical MapReduce using mrjob This is to be run in the Cloudera Quickstart VM. Make sure you have started Cloudera express and the services (by clicking Launch Cloudera Express, or writing sudo /home/cloudera/cloudera-manager –force –express in a terminal) waiting for the script to finish, and then logging in into the
7CCSMBDT – Big Data Technologies Practical Lab 2: Big Data access connectors Introduction to using Cloudera Quickstart VM (this is useful for every lab using Cloudera) The following steps should be performed after logging in into Cloudera. For logging in, please refer to the email you received from Andreas Biternas. Any issues related to Cloudera
Lexical Semantics COMP90042 Natural Language Processing Lecture 9 COPYRIGHT 2020, THE UNIVERSITY OF MELBOURNE 1 COMP90042 L9 Sentiment Analysis • Bagofwords,kNNclassifier.Trainingdata: “This is a good movie.” → ☺ “This is a great movie.” → ☺ “This is a terrible film.” → ☹ ‣ ‣ ‣ • • Twoproblems: “This is a wonderful film.” → ?
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Programming Paradigms CSI2120 Jochen Lang EECS, University of Ottawa Canada Logic Programming in Prolog • Databases • Managing the Prolog database of rules – Dynamic rules – Adding rules – Removing rules – Inspectingrules CSI2120: Programming Paradigms Organizing the Database: Composite Terms • Predicate student – student(jim, white, 17, main, ottawa, ontario, 10, 12, 83,
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Computational Linguistics CSC 485 Summer 2020 3 Reading: Jurafsky & Martin: 19.1–4, 20.8; Bird et al: 2.5 Copyright © 2017 Graeme Hirst, Suzanne Stevenson and Gerald Penn. All rights reserved. 3. Lexical semantics Gerald Penn Department of Computer Science, University of Toronto Lexical semantics • Word meanings and their internal structure. • The structure of
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Distributional Semantics COMP90042 Natural Language Processing Lecture 10 COPYRIGHT 2020, THE UNIVERSITY OF MELBOURNE 1 COMP90042 L10 • Manually constructed ‣ Expensive ‣ Human annotation can be biased and noisy • Language is dynamic ‣ New words: slang, terminology, etc. ‣ New senses • The Internet provides us with massive amounts of text. Can we
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COMP9313: Big Data Management Mining Data Streams Source from Dr. Xin Cao Data Streams •In many data mining situations, we do not know the entire data set in advance •Stream Management is important when the input rate is controlled externally • Google queries • Twitter or Facebook status updates •We can think of the data
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COMP9313: Big Data Management Recommender System Source from Dr. Xin Cao Recommendations Examples: Search Recommendations Items Products, web sites, blogs, news items, … 2 Recommender Systems 3 Recommender Systems •Application areas • Movie recommendation (Netflix) • Related product recommendation (Amazon) • Web page ranking (Google) • Social recommendation (Facebook) •… … 4 Netflix Movie Recommendation
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