Statistics Links:
Tutorials
Statistics
Every Writer Should Know
Information written by L.A. Times' journalist Robert Niles is geared toward
fellow journalists and other liberal-arts types who avoided anything mathematical,
and statistics in particular, at school but now find they need a basic
understanding of statistics that's not too technical.
HyperStat
Online
The main offering at this site is the HyperStat Online Textbook, an introductory
guide to statistics, but many other resources make it worth a visit, including
book reviews, statistics link resources, and an online forum for users
of the textbook. Sadly, the links to statistics jokes no longer flourish
as they once did
SmartDrill®
Data Mining
Provides a number of explanatory sections for data mining novices, including
case studies, white papers and a nontechnical overview of various methods
for analyzing data, working from the simplest techniques through increasingly
sophisticated methods, pointing out the strengths and limitations of each.
Statistical
Data Mining Tutorials
A list of PowerPoint Tutorials written by Andrew Moore, a professor of
Robotics and Computer Science at the School of Computer Science, Carnegie
Mellon University. The tutorials focus on many aspects of 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. Some of the topics include, Decision trees,
Probability for Data miners, gaussian bayes classifiers, and regression
algorithms.
Back to Top
|
