Data Analytics Handbook of Formulas and Techniques

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.

Info autore

Adedeji B. Badiru is a professor of systems engineering at the Graduate School of Engineering and Management at the Air Force Institute of Technology. He was previously Professor and Department Head of Industrial Engineering at the University of Tennessee, and Professor of Industrial Engineering at the University of Oklahoma. He is a registered professional engineer (PE), a certified Project Management Professional (PMP), and a Fellow of the Institute of Industrial & Systems Engineers. He is the author of over 30 books, 34 book chapters, and 80 technical journal articles. He is a member of several professional associations and scholastic honor societies.

Riassunto

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.

Dettagli sul prodotto

• Autori: Adedeji B. Badiru, Badiru Adedeji B., Adedeji B. (Professor Badiru
• Editore: Taylor & Francis Ltd.
• Contenuto: Libro
• Forma del prodotto: Tascabile
• Data pubblicazione: 04.10.2024
• Categoria: Scienze sociali, diritto, economia > Economia > Singoli rami economici, branche; Scienze naturali, medicina, informatica, tecnica > Tecnica > Altro; Scienze umane, arte, musica > Arte > Architettura d'interni, design
• EAN: 9780367537425
• ISBN: 978-0-367-53742-5
• Numero di pagine: 246
• Serie: Systems Innovation Book Series
• Categorie: TECHNOLOGY & ENGINEERING / Engineering (General), MATHEMATICS / Functional Analysis, MATHEMATICS / Mathematical Analysis, Mathematics, BUSINESS & ECONOMICS / Industries / Manufacturing, Technology: general issues, Calculus & mathematical analysis, Engineering: general, Manufacturing industries, Functional analysis & transforms, Databases, Calculus and mathematical analysis, Engineering Statistics, Regression Analysis, Mathematical Modeling, Functional analysis and transforms, COMPUTERS / Database Administration & Management, regression model, random field, Data Set, Databases / Data management, Energy Density, Correlation function, Covariance function, Quantitative techniques, empirical modeling, Chi Square Distribution, Bayesian Regression Model, statistical methods for engineering research, technical data interpretation, Multiple Bar Chart, Semilog Plot, Gaussian Correlation Function, Generate Control Charts, Random Field Model, Optical Character Reader, Ratio Scale Measurement, computer experiments, Fluid Volume Measurement, Trigonometric Regression, FRF., Low Degree Polynomials, Data Analytics Platforms