bayesian models

Reinforcement Learning - by D Phil Winder Ph (Paperback)

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

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

Visualize This - 2nd Edition by Nathan Yau (Paperback)

Machine Learning for Financial Risk Management with Python - by Abdullah Karasan (Paperback)

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

The Power of Uncertainty - by Arabella S Begin (Hardcover)

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

Mostly Harmless Econometrics - by Joshua D Angrist & Jörn-Steffen Pischke (Paperback)

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

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

Stochastic Finance with Python - by Avishek Nag (Paperback)

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

ML and Generative AI in the Data Lakehouse - by Bennie Haelen (Paperback)

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

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

Learn AI Data Engineering - by David Melillo (Paperback)

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

Outlier Detection in Python - by Brett Kennedy (Paperback)

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

Machine Learning Design Patterns - by Valliappa Lakshmanan & Sara Robinson & Michael Munn (Paperback)

GMAT Official Guide Data Insights Review 2026 - 2027 - (Paperback)

Introduction to Probability Models - 13th Edition by Sheldon M Ross (Paperback)