login
You are not logged in.
search:
AMSER logo



Title: Statistical Data Mining Tutorials
Url: http://www.cs.cmu.edu/~./awm/tutorials/list.html
Creator: Moore, Andrew W., Ph.D.
Publisher: Carnegie-Mellon University. School of Computer Science.
Description: These tutorial, created by Professor Andrew Moore at Carnegie-Mellon University, cover a range of topics in statistical data mining "including the foundations of probability, the foundations of statistical data analysis, and most of the classic machine learning and data mining algorithms." Decision Trees, Information Gain, and Cross-Validation are just a few of the items presented here. Each topic contains a set of tutorial slides in PDF, excellent for converting into a classroom presentation or left as they are for a classroom handout or online learning resource.
LC Classification: Science -- Mathematics -- Instruments and machines -- Calculating machines -- Electronic computers. Computer science -- Other topics, A-Z -- Data mining
Science -- Mathematics -- Instruments and machines -- Calculating machines -- Electronic computers. Computer science -- Study and teaching. Research
Science -- Science (General) -- Cybernetics -- Self-organizing systems. Conscious automata -- Machine learning
GEM Subject: Science -- Technology
Resource Type: Reference Material
Instructional Material
Format: Document -- PDF
Document -- HTML
Audience: Educator
Learner
Education Level: Higher Education
Higher Education -- Undergraduate (Lower Division)
Higher Education -- Undergraduate (Upper Division)
Higher Education -- Technical Education (Upper Division)
Higher Education -- Technical Education (Lower Division)
Language: English
Access Rights: Free access
Screenshot
Screenshot
Full Image
Source: Scout Staff
Full Record Views: 25
Resource URL Clicks: 12
Cumulative Rating: NOT YET RATED
Report a Problem with this Resource Record

Resource Comments

(no comments available yet for this resource)

user login
Username:
Password:
why log in?
Manage your resources
Save, organize, and share resources that you find.

Subscribe to bulletins
Automatically be notified about new resources that match your interests.

It's easy, fast, and FREE!
AMSER =
FREE ONLINE
RESOURCES
for the
CLASSROOM

Copyright 2024 Internet Scout Resource Metadata
Copyright 2024 Internet Scout
NSF NSDL University of Wisconsin Internet Scout
Leave Feedback
http://amser.org/