bayesian models

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

Outlier Detection in Python - by Brett Kennedy (Paperback)

Patterns, Predictions, and Actions - by Moritz Hardt & Benjamin Recht (Hardcover)

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

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

Principles of Brain Dynamics - (Computational Neuroscience) by Mikhail I Rabinovich & Karl J Friston & Pablo Varona (Paperback)

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

Hands-On Data Structures and Algorithms with Python - Third Edition - 3rd Edition by Basant Agarwal (Paperback)

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

Probabilistic Machine Learning for Finance and Investing - by Deepak K Kanungo (Paperback)

The Elements of Statistical Learning - (Springer Statistics) 2nd Edition by Trevor Hastie & Robert Tibshirani & Jerome Friedman (Hardcover)

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

Ai-Assisted Statistics for Data Scientists - 3rd Edition by Peter Bruce & Andrew Bruce & Peter Gedeck (Paperback)

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

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

Starting Data Analytics with Generative AI and Python - by Artur Guja & Marlena Siwiak & Marian Siwiak (Paperback)

Machine Learning with the Raspberry Pi - by Donald J Norris (Paperback)

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

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

An Introduction to Error Analysis - 3rd Edition by John R Taylor (Paperback)

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

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

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