University of Toronto Scarborough Department of Computer and Mathematical Sciences Introduction to Machine Learning and Data Mining CSCC11H3, Fall 2021 Dr. Masoud Ataei Take-home Final Exam 12/12/2021 – 12/21/2021, 11:59 pm 1 Stock Market Regimes Preliminaries Let C1, C2, . . . , Ck be k mutually exclusive and exhaustive events, and let πi be […]
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ADM 4307 – Fall 2021 Course Outline 1/17 Business Forecasting Analytics [ADM 4307 | FALL 2021] Professor Ahmet Kandakoglu Office Virtual (Zoom) E-mail Ahmet. In all e-mail communications, please include “ADM 4307” in the subject line, and your name and student number in the body of your message. Office Hours Only by appointment. Class Location
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Week-1 Introduction to Course Some of the slides are adapted from the lecture notes provided by Prof. Antoine Saure and Prof. Rob Hyndman Business Forecasting Analytics ADM 4307 – Fall 2021 Introduction to Course Ahmet Kandakoglu, PhD 13 September, 2021 Contact Details • Lecturer • Ahmet Kandakoglu, PhD • Office: Room 7116, Desmarais Building •
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File Structures CONTEXTUAL DATABASE & CONCEPTUAL MODELLING Database Theory & Applications (M) Dr Chris Anagnostopoulos ROADMAP Database in context Database System abstract architectural view Families of Data Focus on structured-data Entity-Relationship Conceptual Model Prof Peter Chen (CMU) invented the ER model; 1976 {Entities, Attributes, Relationships, Semantics} Examples
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Natural Language Processing Jacob Eisenstein October 15, 2018 Contents Contents 1 Preface i Background . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . i How to use
/home/tgd/papers/nature-ecs/tech-report.dvi Machine Learning Thomas G. Dietterich Department of Computer Science Oregon State University Corvallis, OR 97331 1 Introduction Machine Learning is the study of methods for programming computers to learn. Computers are applied to a wide range of tasks, and for most of these it is relatively easy for programmers to design and implement the
;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;; ; ; Opinion Lexicon: Negative ; ; This file contains a list of NEGATIVE opinion words (or sentiment words). ; ; This file and the papers can all be downloaded from ; http://www.cs.uic.edu/~liub/FBS/sentiment-analysis.html ; ; If you use this list, please cite the following paper: ; ; Minqing Hu and Bing Liu. “Mining and
Natural Language Processing Jacob Eisenstein October 15, 2018 Contents Contents 1 Preface i Background . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . i How to use
;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;; ; ; Opinion Lexicon: Positive ; ; This file contains a list of POSITIVE opinion words (or sentiment words). ; ; This file and the papers can all be downloaded from ; http://www.cs.uic.edu/~liub/FBS/sentiment-analysis.html ; ; If you use this list, please cite the following paper: ; ; Minqing Hu and Bing Liu. “Mining and
University of Toronto Scarborough Department of Computer and Mathematical Sciences Introduction to Machine Learning and Data Mining CSCC11H3, Fall 2021 Assignment 2 Due December 8, 2021 at 11:49 pm 1 Logistic Regression 1.1 Understanding Binary Class Logistic Regression In this question, we investigate the assumptions and limitations of the binary class logistic regression model. Suppose