bayesian models

Building Regression Models with SAS - by Robert N Rodriguez (Paperback)

Elements of Probabilistic Analysis with Applications - (Mathematics and Its Applications) by Gheorghe Constantin & Ioana Istratescu (Hardcover)

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

Visualize This - 2nd Edition by Nathan Yau (Paperback)

Probabilistic Machine Learning for Finance and Investing - by Deepak K Kanungo (Paperback)

R All-In-One for Dummies - by Joseph Schmuller (Paperback)

Classical Machine Learning - by Sanad Aburass & Ibrahim Aljarah (Hardcover)

The Elements of Statistical Learning - (Springer Statistics) 2nd Edition by Trevor Hastie & Robert Tibshirani & Jerome Friedman (Hardcover)

Hands-On Data Structures and Algorithms with Python - Third Edition - 3rd Edition by Basant Agarwal (Paperback)

Data Science on the Google Cloud Platform - 2nd Edition by Valliappa Lakshmanan (Paperback)

Deep Learning with Python, Third Edition - by Francois Chollet & Matthew Watson (Paperback)

SAS for Mixed Models - by Walter W Stroup & George a Milliken & Elizabeth a Claassen (Paperback)

Predicted - (Co-Opting AI) by Mona Sloane

Democratizing AI - (Critical Powers) by Annette Zimmermann (Hardcover)

Machine Learning with Python Cookbook - 2nd Edition by Kyle Gallatin & Chris Albon (Paperback)

Sequential Decision Analytics and Modeling - by Warren B Powell (Hardcover)

Modelling Protocells - (Understanding Complex Systems) by Roberto Serra & Marco Villani (Hardcover)

An Introduction to Statistical Learning - (Springer Texts in Statistics)

Mathematical Models in Epidemiology - (Texts in Applied Mathematics) by Fred Brauer & Carlos Castillo-Chavez & Zhilan Feng (Hardcover)

Machine Learning with Quantum Computers - (Quantum Science and Technology) 2nd Edition by Maria Schuld & Francesco Petruccione

Uncertainty Data in Interval-Valued Fuzzy Set Theory - (Studies in Fuzziness and Soft Computing) by Barbara P&#281 & kala (Hardcover)

Introduction to Probability Models - 13th Edition by Sheldon M Ross (Paperback)

Principles and Theory for Data Mining and Machine Learning - (Springer Statistics) by Bertrand Clarke & Ernest Fokoue & Hao Helen Zhang