May 2019
Intermediate to advanced
452 pages
12h 16m
English
Content preview from Hands-On GPU Computing with Python
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Exercise
With PyCUDA, correlate tobacco with two diseases: cancer and infertility. Use Karl Pearson's correlation coefficient.
Karl Pearson's correlation coefficient is a measure of the strength of a linear association between two variables. It is denoted by r and varies from -1 to +1. A value toward -1 is a negative correlation and a value toward +1 is a positive correlation. 0 indicates no correlation.
Pearson's correlation coefficient is represented by the following formula:
The variables in the formula are defined as:
- n is the number of pairs of values in the datasets
- x and y are the given pair of values
- ∑ xy is the sum of the products ...
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