predictive analytics on excel

Engineering Data Mesh in Azure Cloud - by Aniruddha Deswandikar (Paperback)

Conceptual Variable Design for Scorecards - by Saul Rodrigo Alvarez Zapiain (Paperback)

AI Model Evaluation - by Leemay Nassery (Paperback)

Network Automation with Nautobot - by Jason Edelman & Glenn Matthews & Josh Vanderaa (Paperback)

Geoai - by Ismael Chivite & Nicholas Giner & Matt Artz

Principles of Statistical Genomics - by Shizhong Xu (Hardcover)

Machine Learning for Hackers - by Drew Conway & John Myles White (Paperback)

Julia for Data Analysis - by Bogumil Kaminski (Paperback)

Nonlinear Financial Econometrics: Forecasting Models, Computational and Bayesian Models - by G Gregoriou & R Pascalau (Hardcover)

HR Business Partner Excellence - by Glenn Templeman

The Myth of Excellence - by Fred Crawford & Ryan Mathews (Paperback)

Computational Methods for Data Analysis - by Yeliz Karaca & Carlo Cattani (Paperback)

Machine Learning in Finance - by Matthew F Dixon & Igor Halperin & Paul Bilokon (Hardcover)

Beginning R - 2nd Edition by Larry Pace & Joshua Wiley (Paperback)

Machine Learning and AI with Simple Python and MATLAB Scripts - (IEEE Press) by M Umit Uyar (Hardcover)

Matlab(r) by Example - (Elsevier Insights) by Munther Gdeisat & Francis Lilley (Hardcover)

Deep Learning with R, Third Edition - by François Chollet & Tomasz Kalinowski (Paperback)

Bayesian Statistics and Marketing - (Wiley Probability and Statistics) 2nd Edition by Peter E Rossi & Greg M Allenby & Sanjog Misra (Hardcover)

Breakthroughs in Statistics - (Ernst Schering Research Foundation Workshops) by Kotz (Hardcover)

Pricing and Revenue Optimization - 2nd Edition by Robert L Phillips (Hardcover)

Statistical Models for the Social and Behavioral Sciences - by William H Crown (Hardcover)

Artificial Intelligence for Libraries - by Brady D Lund (Hardcover)

Introduction to Statistical Machine Learning - by Masashi Sugiyama (Paperback)

Power and Prediction - by Ajay Agrawal & Joshua Gans & Avi Goldfarb (Hardcover)