Transcription of COMP 551 –Applied Machine Learning Lecture 1: Introduction
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COMP 551 –Applied Machine Learning Lecture 1: Introduction
COMP 551 Applied Machine LearningLecture 1: IntroductionInstructor: Herke van Hoof mostly by: Joelle PineauClass web page: ~hvanho2/comp551 Unless otherwise noted, all material posted for this course are copyright of the Instructors, and cannot be reused or reposted without the instructor s written permission. Joelle Pineau2 COMP-551: Applied Machine LearningOutline for today Overview of the syllabus Summary of course content Broad Introduction to Machine Learning (ML) Examples of ML applicationsJoelle Pineau3 Course objectives To develop an understanding of the fundamental concepts of ML. Algorithms, models, practices. To emphasize good methods and practices for effective deployment of real systems. To acquire hands-on experience with basic tools, algorithms and : Applied Machine LearningJoelle Pineau4 COMP-551: Applied Machine LearningAbout you117 enrolled, 56 waitlist, primarily from: Computer Science, Computer Engineering (approx.)
• Ryan Lowe • Currently pursuing a PhD in the reasoning and learning lab • Ryan’s research interests ... • Hastie, Tibshirani& Friedman. The Elements of Statistical Learning: Data Mining, Inference, and Prediction, 2nd Edition. Springer. 2009.
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