bayesian models

Machine Learning Upgrade - by Kristen Kehrer & Caleb Kaiser (Paperback)

Behavioral Data Analysis with R and Python - by Florent Buisson (Paperback)

Privacy-Preserving Machine Learning - by Srinivasa Rao Aravilli (Paperback)

Probability for Deep Learning Quantum - by Charles R Giardina (Paperback)

Statistics by Simulation - by Carsten F Dormann & Aaron Ellison

An Introduction to Categorical Data Analysis - (Wiley Probability and Statistics) 3rd Edition by Alan Agresti (Hardcover)

How Large Language Models Work - by Edward Raff & Drew Farris & Stella Biderman (Paperback)

Outlier Detection in Python - by Brett Kennedy (Paperback)

Statistics II for Dummies - 2nd Edition by Deborah J Rumsey (Paperback)

Monte Carlo Principles and Neutron Transport Problems - (Dover Books on Mathematics) by Jerome Spanier & Ely M Gelbard (Paperback)

Ecological Models and Data in R - by Benjamin M Bolker (Hardcover)

Deep Learning with Keras - by Antonio Gulli & Sujit Pal (Paperback)

Introduction to Python and Large Language Models - by Dilyan Grigorov (Paperback)

Nonstandard Methods in Stochastic Analysis and Mathematical Physics - (Dover Books on Mathematics) (Paperback)

Introduction to Meta-Analysis - 2nd Edition by Michael Borenstein & Larry V Hedges & Julian P T Higgins & Hannah R Rothstein (Hardcover)

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

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

Statistical Foundations of Actuarial Learning and Its Applications - (Springer Actuarial) by Mario V Wüthrich & Michael Merz (Paperback)

How to Estimate with Rsmeans Data - 5th Edition by Rsmeans & Saleh A Mubarak (Paperback)

Information Theory and Statistics - (Dover Books on Mathematics) by Solomon Kullback (Paperback)

Domain-Specific Modeling - (IEEE Press) by Steven Kelly & Juha-Pekka Tolvanen (Paperback)