Handbook Of Small Data Sets
04.09.2019
The data set isn’t too messy — if it is, we’ll spend all of our time cleaning the data. There’s an interesting target column to make predictions for. The other variables have some explanatory power for the target column. There are a few online repositories of data sets curated specifically for machine learning.
- Get this from a library! A handbook of small data sets. D J Hand; - 'Teachers of statistical methodology frequently fabricate data sets to illustrate techniques or phenomena or for use in examination questions. This is not ideal, as artifical data sets can hinde from.
- An outlier is an observation that appears to deviate markedly from other observations in the sample. Identification of potential outliers is important for the following reasons. An outlier may indicate bad data. For example, the data may have been coded incorrectly or an experiment may not have been run correctly.
Small Data Sets For Statistics
| The author of the book:David J. Hand Format files: PDF, EPUB The size of the: 312 KB Language: English ISBN-13: 9780412399206 Edition: Taylor & Francis Date of issue: 11/1/1993 |
Description of the book 'A Handbook of Small Data Sets':
A Handbook Of Small Data Sets
This book should be of interest to statistics lecturers who want ready-made data sets complete with notes for teaching.
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David J. Hand
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