bayesian models

Nonstandard Methods in Stochastic Analysis and Mathematical Physics - (Dover Books on Mathematics) (Paperback)

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

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

Retrieval Augmented Generation, the Foundational Ideas - by Ben Auffarth (Paperback)

Thoughtful Data - (Paperback)

Reinforcement Learning - by D Phil Winder Ph (Paperback)

Information Theory and Statistics - (Dover Books on Mathematics) by Solomon Kullback (Paperback)

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

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

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

Machine Learning for Dummies - 3rd Edition by Luca Massaron & John Paul Mueller (Paperback)

Elements of Probabilistic Analysis with Applications - (Mathematics and Its Applications) by Gheorghe Constantin & Ioana Istratescu (Hardcover)

Statistics for Terrified Biologists - 2nd Edition by Helmut F Van Emden (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-Oriented Programming in Java - by Chris Kiehl (Paperback)

Learn AI Data Engineering - by David Melillo (Paperback)

Brownian Motion, Martingales, and Stochastic Calculus - (Graduate Texts in Mathematics) by Jean-François Le Gall (Hardcover)

Outlier Detection in Python - by Brett Kennedy (Paperback)

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