bayesian models

Computational Pharmaceutics: Application of Molecular Modeling in Drug Delivery - by Gulliver Altman (Hardcover)

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

Deep Learning for Time Series Cookbook - by Vitor Cerqueira & Luís Roque (Paperback)

Tensorflow in Action - by Thushan Ganegedara (Paperback)

A First Course in Stochastic Models - by Henk C Tijms (Hardcover)

Conformal Prediction for Reliable Machine Learning - by Vineeth Balasubramanian & Shen-Shyang Ho & Vladimir Vovk (Paperback)

Fundamentals of Deep Learning - 2nd Edition by Nithin Buduma & Nikhil Buduma & Joe Papa (Paperback)

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

Deep Learning with Jax - by Grigory Sapunov (Paperback)

The Data Model Resource Book - by Len Silverston & Paul Agnew (Paperback)

Markov Chains: Theory and Applications - (Handbook of Statistics) by C R Rao & Arni S R Srinivasa Rao (Hardcover)

How Algorithms Create and Prevent Fake News - by Noah Giansiracusa (Paperback)

The Statistics and Machine Learning with R Workshop - by Liu Peng (Paperback)

Introduction to Transfer Learning - (Machine Learning: Foundations, Methodologies, and Applications) by Jindong Wang & Yiqiang Chen (Paperback)

SPSS Statistics for Dummies - 4th Edition by Jesus Salcedo & Keith McCormick (Paperback)

Optimization and Learning Via Stochastic Gradient Search - (Princeton Applied Mathematics) by Felisa Vázquez-Abad & Bernd Heidergott (Hardcover)

Statistical Models and Methods for Financial Markets - (Springer Texts in Statistics) by Tze Leung Lai & Haipeng Xing (Hardcover)

SAS for Dummies - 3rd Edition by Chris Hemedinger (Paperback)

Machine Learning Algorithms in Depth - by Vadim Smolyakov (Paperback)