'Attribute test' diaporamas de présentation

Data Mining Classification: Basic Concepts and Techniques

Data Mining Classification: Basic Concepts and Techniques. Lecture Notes for Chapter 3 Introduction to Data Mining, 2 nd Edition by Tan, Steinbach, Karpatne, Kumar. Classification: Definition. Given a collection of records ( training set )

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Classification: Definition

Classification: Definition. Given a collection of records ( training set ) Find a model for class attribute as a function of the values of other attributes. Goal: previously unseen records should be assigned a class as accurately as possible.

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Statistics 202: Statistical Aspects of Data Mining Professor David Mease

Statistics 202: Statistical Aspects of Data Mining Professor David Mease Tuesday, Thursday 9:00-10:15 AM Terman 156 Lecture 10 = Start chapter 4 Agenda: 1) Assign 4 th Homework (due Tues Aug 7) 2) Start lecturing over Chapter 4 (Sections 4.1-4.5). Homework Assignment:

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Machine Learning

Machine Learning. CPS4801. Research Day. Keynote Speaker Tuesday 9:30-11:00 STEM Lecture Hall (2 nd floor) Meet-and-Greet 11:30 STEM 512 Faculty Presentation Tuesday 11:00-3:00 STEM Prof. Liou 2:00 Room 415 Student Poster Wednesday 10:00-3:00

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Learning from Observations

463 views • 26 slides

Learning from Observations

Learning from Observations. COMP151 April 20, 2007. Example Problem. Alternate: is there an alternative restaurant nearby? Bar: is there a comfortable bar area to wait in? Fri/Sat: is today Friday or Saturday? Hungry: are we hungry?

311 views • 15 slides