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Data Analytics; Handbook of Formulas and Techniques
Adedeji B. Badiru

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Data Analytics; Handbook of Formulas and Techniques

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Rating: Not rated

Tags: Artificial Intelligence, Quality Control, Decision Making, Analysis of Variance, Time Series Analysis, Distribution Functions

Added: November 30, 2020

Modified: November 5, 2021

Summary

Whoever has the data has the ability to extract information promptly and effectively to make pertinent decisions. The premise of this handbook is to empower users and tool developers with a collection of formulas and techniques for data analytics and to serve as a quick reference to keep pertinent formulas within fingertips of readers.