categorical data analysis agresti

Unifying Business, Data, and Code - by Ron Itelman & Juan Cruz Viotti (Paperback)

Practical Time Series Analysis - by Aileen Nielsen (Paperback)

Data Mesh - by Zhamak Dehghani (Paperback)

Automating Data Quality Monitoring - by Jeremy Stanley & Paige Schwartz (Paperback)

Data Engineering for Multimodal AI - by Vasundra Srinivasan (Paperback)

Head First Algorithms and Data Structures - by Eric Freeman & Elisabeth Robson (Paperback)

Deep Learning at Scale - by Suneeta Mall (Paperback)

Deciphering Data Architectures - by James Serra (Paperback)

Data Engineering Design Patterns - by Bartosz Konieczny (Paperback)

Learning Spark - 2nd Edition by Jules S Damji & Brooke Wenig & Tathagata Das & Denny Lee (Paperback)

Machine Learning with Python Cookbook - 2nd Edition by Kyle Gallatin & Chris Albon (Paperback)

Apache Iceberg: The Definitive Guide - by Tomer Shiran & Jason Hughes & Alex Merced (Paperback)

Prompt Engineering for Llms - by John Berryman & Albert Ziegler (Paperback)

Apache Polaris: The Definitive Guide - by Alex Merced & Andrew Madson & Tomer Shiran (Paperback)

Stream Processing with Apache Flink - by Fabian Hueske & Vasiliki Kalavri (Paperback)

Practical Lakehouse Architecture - by Gaurav Ashok Thalpati (Paperback)

Analytical Skills for AI and Data Science - by Daniel Vaughan (Paperback)

Building Knowledge Graphs - by Jesús Barrasa & Jim Webber (Paperback)

The Developer's Playbook for Large Language Model Security - by Steve Wilson (Paperback)

Designing Large Language Model Applications - by Suhas Pai (Paperback)

Financial Data Engineering - by Tamer Khraisha (Paperback)

Data Governance with Unity Catalog on Databricks - by Kiran Sreekumar & Karthik Subbarao (Paperback)

Data Science from Scratch - 2nd Edition by Joel Grus (Paperback)

Learning Data Science - by Sam Lau & Joseph Gonzalez & Deborah Nolan (Paperback)