bayesian models

Grokking Deep Learning - by Andrew Trask (Paperback)

Small Area Estimation - (Wiley Survey Methodology) 2nd Edition by J N K Rao & Isabel Molina (Hardcover)

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

Uneducated Guesses - by Howard Wainer (Hardcover)

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

Statistical Distributions - 4th Edition by Catherine Forbes & Merran Evans & Nicholas Hastings & Brian Peacock (Paperback)

Machine Learning and Artificial Intelligence in Radiation Oncology - by Barry S Rosenstein & Tim Rattay & John Kang (Paperback)

Semiparametric Theory and Missing Data - (Springer Statistics) by Anastasios Tsiatis (Hardcover)

Computational Methods for Data Analysis - by Yeliz Karaca & Carlo Cattani (Paperback)

Data Science Programming All-In-One for Dummies - by John Paul Mueller & Luca Massaron (Paperback)

First-Order and Stochastic Optimization Methods for Machine Learning - (Springer the Data Sciences) by Guanghui Lan (Paperback)

Sequence Analysis in a Nutshell: A Guide to Tools - by Scott Markel & Darryl Leon (Paperback)

Probablistic Risk Assessment and Management for Engineers and Scientists - by Hiromitsu Kumamoto & Ernest J Henley (Paperback)

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

Probability and Statistics - (De Gruyter Textbook) by Arak M Mathai & Hans J Haubold (Paperback)

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

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

Machine Learning - by Zhi-Hua Zhou (Paperback)

Mathematical Aspects of Spin Glasses and Neural Networks - (Progress in Probability) by Anton Bovier & Pierre Picco (Hardcover)

Stochastic Claims Reserving Methods in Insurance - (Wiley Finance) by Mario V Wüthrich & Michael Merz (Hardcover)

Finite Markov Processes and Their Applications - (Dover Books on Mathematics) by Marius Iosifescu (Paperback)

Perturbation Analysis of Optimization Problems - (Springer Operations Research and Financial Engineering) by J Frederic Bonnans & Alexander Shapiro

Statistics, Data Mining, and Machine Learning in Astronomy - (Princeton Modern Observational Astronomy) (Hardcover)