bayesian models

Model Validation and Uncertainty Quantification in Biomechanics - (Biomechanics of Living Organs) by Gerhard A Holzapfel & Malte Rolf & Xiao Yun Xu

Projections - by Karl Deisseroth (Paperback)

Statistical Analysis with Python for Dummies - by Joseph Schmuller (Paperback)

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

Bayesian Inference: Statistical and Probabilistic Mathematics - by Arthur Gray (Hardcover)

JMP for Mixed Models - by Ruth Hummel & Elizabeth a Claassen & Russell D Wolfinger (Hardcover)

Causal AI - by Robert Osazuwa Ness (Paperback)

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

Graph Neural Networks in Action - (In Action) by Keita Broadwater & Namid Stillman (Paperback)

The Essential Book of AI - (Sirius Concepts) by Anne Rooney (Hardcover)

Deep Generative Modeling - 2nd Edition by Jakub M Tomczak (Hardcover)

Lectures on Monte Carlo Theory - (Probability Theory and Stochastic Modelling) by Pawel Lorek & Tomasz Rolski (Hardcover)

All of Statistics - (Springer Texts in Statistics) by Larry Wasserman (Hardcover)

Probability Theory - (Universitext) 3rd Edition by Achim Klenke (Paperback)

Grokking Statistics - by Thomas Nield (Paperback)

Bayesian Biostatistics - (Statistics in Practice) by Emmanuel Lesaffre (Hardcover)

The Power of Uncertainty - by Arabella S Begin (Hardcover)

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

Think Bayes - 2nd Edition by Allen B Downey (Paperback)

Deep Learning - by Weidong Kuang (Hardcover)

Domain-Specific Small Language Models - by Guglielmo Iozzia (Paperback)

Grokking AI Algorithms, Second Edition - by Rishal Hurbans (Paperback)

Mental Models - by Peter Hollins (Hardcover)

Mental Models - by Peter Hollins (Hardcover)