bayesian models

Thoughtful Data - (Paperback)

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

Statistics Using Python - by Oswald Campesato (Paperback)

Yield Curve Modeling and Forecasting - (Econometric and Tinbergen Institutes Lectures) by Francis X Diebold & Glenn D Rudebusch (Hardcover)

Build AI Drug Discovery Pipelines - by Noah Flynn (Paperback)

Practitioner's Knowledge Representation - by Emilia Mendes (Hardcover)

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

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

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

Rearchitecting Llms - by Pere Martra (Paperback)

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

Applied Reinforcement Learning - by Hadi Aghazadeh (Paperback)

Google Bigquery: The Definitive Guide - by Valliappa Lakshmanan & Jordan Tigani (Paperback)

Microsoft Dynamics 365 AI for Business Insights - by Dmitry Shargorodsky (Paperback)

Hidden Semi-Markov Models - by Shun-Zheng Yu (Paperback)

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

Interpretable Machine Learning with Python - Second Edition - 2nd Edition by Serg Masís (Paperback)

Regression Modeling Strategies - (Springer Statistics) 2nd Edition by Frank E Harrell Jr (Paperback)

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

Grokking Deep Learning - by Andrew Trask (Paperback)

Data-Oriented Programming in Java - by Chris Kiehl (Paperback)

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

Data Pipelines with Apache Airflow, Second Edition - by Julian de Ruiter & Ismael Cabral & Kris Geusebroek & Daniel Van Der Ende & Bas Harenslak

The AI Pocketbook - by Emmanuel Maggiori (Paperback)