This tutorial is designed to give the reader an understanding of Principal Components
Analysis (PCA). PCA is a useful statistical technique that has found application in
fields such as face recognition and image compression, and is a common technique for
finding patterns in data of high dimension.
Before getting to a description of PCA, this tutorial first introduces mathematical
concepts that wil
There are several major findings in this report. One is this: For help with a variety of common problems, more people turn to the internet than consult experts or family members to provide information and resources.
This guide is designed for educators who are beginning to learn how to use data for school improvement. It offers foundational information on types of data, strategies for analyzing and understanding data, and methods for determining how these efforts can influence goals and planning.
The following links point to a set of tutorials 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.
These include classification algorithms such as decision trees, neural nets, Bayesian classifiers, Support Vector Machines and cased-based...
Levin, D., & Arafeh, S. (2002). The digital disconnect: The widening gap between Internet-savvy students and their schools (Pew Internet and American Life Project). Washington, DC: American Institutes for Research.
With Google Trends, you can compare the world's interest in your favorite topics. Enter up to five topics and see how often they've been searched on Google over time. Google Trends also shows how frequently your topics have appeared in Google News stories, and in which geographic regions people have searched for them most.
This is the actual survey data that concludes: "The survey reveals a nation whose book readers, on the whole, can hardly be called ravenous. The typical person claimed to have read four books in the last year -- half read more and half read fewer. Excluding those who hadn't read any, the usual number read was seven."
The CiteULike database is potentially useful for researchers in various fields. Physicists and computer scientists have expressed an interest in trying to analyse the structure of the data, and frequently ask for datasets to be made available.
Previously this was done on an ad-hoc basis, and it relied on us remembering to update the data file. Now, there is an automatic process which runs every n
The number of teenagers using the internet has grown 24% in the past four years and 87% of those between the ages of 12 and 17 are online. Compared to four years ago, teens’ use of the internet has intensified and broadened as they log on more often and do more things when they are online.
REQUIRES JOURNAL ACCESS: In this issue of the ARCHIVES, we read about a different storm: research articles that reveal more evidence of the power of electronic media exposure to breach the protections of our children's cognitive, social, behavioral, and physical health. Does ongoing exposure to media erode children's behaviors and attitudes enough to... Arch Pediatr Adolesc Med. 2006;160:448-450.
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This tutorial is designed to give the reader an understanding of Principal Components Analysis (PCA). PCA is a useful statistical technique that has found application in fields such as face recognition and image compression, and is a common technique for finding patterns in data of high dimension. Before getting to a description of PCA, this tutorial first introduces mathematical concepts that wil
The number of teenagers using the internet has grown 24% in the past four years and 87% of those between the ages of 12 and 17 are online. Compared to four years ago, teens’ use of the internet has intensified and broadened as they log on more often and do more things when they are online.
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