categorical data analysis agresti

Programming Pytorch for Deep Learning - by Ian Pointer (Paperback)

Building Green Software - by Anne Currie & Sarah Hsu & Sara Bergman (Paperback)

Databricks Certified Data Engineer Associate Study Guide - by Derar Alhussein (Paperback)

Essential Math for Data Science - by Thomas Nield (Paperback)

Data Management at Scale - 2nd Edition by Piethein Strengholt (Paperback)

Tableau Certified Data Analyst Study Guide - by Christopher Gardner (Paperback)

Learning MySQL - 2nd Edition by Vinicius M Grippa & Sergey Kuzmichev (Paperback)

Developing Apps with GPT-4 and ChatGPT - 2nd Edition by Olivier Caelen & Marie-Alice Blete (Paperback)

Kubernetes: Up and Running - 3rd Edition by Brendan Burns & Joe Beda & Kelsey Hightower & Lachlan Evenson (Paperback)

Essential Math for AI - by Hala Nelson (Paperback)

Evals for AI Engineers - by Shreya Shankar & Hamel Husain (Paperback)

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

Implementing Data Mesh - by Jean-Georges Perrin & Eric Broda (Paperback)

AWS Certified Data Engineer Associate Study Guide - by Sakti Mishra & Dylan Qu & Anusha Challa (Paperback)

Data Quality Fundamentals - by Barr Moses & Lior Gavish & Molly Vorwerck (Paperback)

Practical Data Privacy - by Katharine Jarmul (Paperback)

Hands-On Machine Learning with Scikit-Learn, Keras, and Tensorflow - 3rd Edition by Aurélien Géron (Paperback)

Applied Machine Learning and AI for Engineers - by Jeff Prosise (Paperback)

Deep Learning for Coders with Fastai and Pytorch - by Jeremy Howard & Sylvain Gugger (Paperback)

Machine Learning Interviews - by Susan Shu Chang (Paperback)

Generative AI on AWS - by Chris Fregly & Antje Barth & Shelbee Eigenbrode (Paperback)

Hands-On Generative AI with Transformers and Diffusion Models - by Omar Sanseviero & Pedro Cuenca & Apolinário Passos & Jonathan Whitaker

SQL and Relational Theory - 3rd Edition by Chris J Date (Paperback)

Practical Linear Algebra for Data Science - by Mike X Cohen (Paperback)