categorical data analysis agresti

Data Governance: The Definitive Guide - by Evren Eryurek & Uri Gilad & Valliappa Lakshmanan & Anita Kibunguchy-Grant & Jessi Ashdown (Paperback)

Neo4j: The Definitive Guide - by Luanne Misquitta & Christophe Willemsen (Paperback)

Fundamentals of Data Visualization - by Claus O Wilke (Paperback)

Hands-On Machine Learning with Scikit-Learn and Pytorch - by Aurélien Géron (Paperback)

Learning Automl - by Kerem Tomak (Paperback)

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

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

Data Science on the Google Cloud Platform - 2nd Edition by Valliappa Lakshmanan (Paperback)

Competing in the Age of AI - by Marco Iansiti & Karim R Lakhani (Hardcover)

The Data Management Workbook - (Research Skills) by Kristin Briney (Paperback)

Statistical Analysis with Python for Dummies - by Joseph Schmuller (Paperback)

Not Like Us - by Dirk Hovy (Hardcover)

You Must Become an Algorithmic Problem - by José Marichal (Paperback)

Hidden Influences - by Luca Belli (Paperback)

Nonstandard Analysis - (Dover Books on Mathematics) by Alain M Robert (Paperback)

The Expanding World of Data - (Very Short Introduction for Curious Youn) by Tom Jackson (Hardcover)

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

Data Dilemma - (AI Guides) by Carla Mooney (Paperback)

Python 3 Data Visualization Using Google Gemini - (MLI Generative AI) by Oswald Campesato (Paperback)

Pioneers in AI - (Wiley Finance) by Miquel Noguer Alonso (Hardcover)