bayesian models

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

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

Quantization and Fast Inference - by Vivek Kalyanarangan (Paperback)

Grokking Statistics - by Thomas Nield (Paperback)

Grokking Machine Learning, Second Edition - by Luis Serrano (Paperback)

Causal AI - by Robert Osazuwa Ness (Paperback)

Google Machine Learning and Generative AI for Solutions Architects - by Kieran Kavanagh (Paperback)

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

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

Large Language Models: A Deep Dive - by Uday Kamath & Kevin Keenan & Garrett Somers & Sarah Sorenson (Hardcover)

Agent Design Patterns - by Peter Belcak (Paperback)

AI Model Evaluation - by Leemay Nassery (Paperback)

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

Let the Evidence Speak - by Alan Jessop (Paperback)

Beginning Anomaly Detection Using Python-Based Deep Learning - 2nd Edition by Suman Kalyan Adari & Sridhar Alla (Paperback)

Deep Learning with Pytorch, Second Edition - by Luca Antiga & Eli Stevens & Howard Huang & Thomas Viehmann (Paperback)

Building Large Language Models from Scratch - by Dilyan Grigorov (Paperback)

Timeless Algorithms, the Foundational Ideas - by Gary Sutton (Paperback)

Bernoulli's Fallacy - by Aubrey Clayton

Nonstandard Analysis - (Dover Books on Mathematics) by Alain M Robert (Paperback)

Using Behavioural Science in Data and AI Transformation - by Rosanne Werner

Summary and Analysis of the Signal and the Noise: Why So Many Predictions Fail--But Some Don't - (Smart Summaries) by Worth Books (Paperback)