Microsoft Word – FinalExamStudyGuidesFall2021.docx DS/CMPSC 410 Programming Models for Big Data Fall 2021 Final Exam Study Guide December 6, 2021 The weight of each topic is an estimate. The actual weight of exam questions can vary slightly. A question in the exam can also related to more than one topic areas. 1. Big Data Opportunities, […]
File Structures DATABASE THEORY & APPLICATIONS DTA(M) Dr Chris Anagnostopoulos Associate Professor in Pervasive Data Science & Distributed Computing GENERAL COURSE INFORMATION Course Delivery Pre-recorded Lectures (Weeks 1-9) & Guest Lecture (Week 10) Access Passcode for ALL recordings: DBH2021! Lectures Discussion/Q&A: Thu 11h00 – 12h00 @Zoom (live) Meeting ID: 938
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Statistical Programming Contents 1 Software Requirements: R, git, JAGS etc 3 1.1 Using a terminal window, choose a text editor . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4 2 git and github 5 2.1
Natural Language Processing Jacob Eisenstein October 15, 2018 Contents Contents 1 Preface i Background . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . i How to use
Semester review; exam preview DATA1002/1902 Lecture 13B Prof Alan Fekete University of Sydney DATA1002 sem2 2021 – Lecture 13B 1 2 COMMONWEALTH OF AUSTRALIA Copyright Regulations 1969 WARNING This material has been reproduced and communicated to you by or on behalf of the University of Sydney pursuant to Part VB of the Copyright Act 1968
A Glimpse of NLP in Industry Bo HAN (bo.a. .au) 24/05/2021 mailto:bo.a. .au Outline ● My Journey & motivations (5 mins) ● Use Case: Geolocation Prediction (20 mins) ● Academia and Industry comparisons (5 mins) ● NLP landscape in industry applications (10 mins) ● Mindset for Industry (10 mins) ● Questions and Answers (10 mins)
6c_Data_Science.dvi COMP9414 Data Science 1 Overview � Methodology � Bias � Overfitting � Combining Datasets � Slicing and Dicing � Validation UNSW ©W. Wobcke et al. 2019–2021 COMP9414: Artificial Intelligence Lecture 6c: Data Science Wayne Wobcke e-mail:w. .au UNSW ©W. Wobcke et al. 2019–2021 COMP9414 Data Science 3 Feature Engineering Example: Mobile Phone Data includes
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Natural Language Processing Jacob Eisenstein October 15, 2018 Contents Contents 1 Preface i Background . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . i How to use
1a_Foundations.dvi COMP9414 Foundations 1 About Me • Logic and Natural Language Processing (1985–1989) • Logic and Knowledge Representation (1989–1995) • Intelligent Agent Theory (1996–2007) • Personal Assistant Applications • Intelligent Desktop Assistant (1998–2000) • Smart Personal Assistant, like Siri (2002–2006) • Clinical Handover Assistant (2003–2007) • Agent-Based Modelling (2008–2013) • Recommender Systems (2008–2014) • Data
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2021/8/8 Third normal form – Wikipedia https://en.wikipedia.org/wiki/Third_normal_form 1/5 Third normal form Third normal form (3NF) is a database schema design approach for relational databases which uses normalizing principles to reduce the duplication of data, avoid data anomalies, ensure referential integrity, and simplify data management. It was defined in 1971 by Edgar F. Codd, an English