fundamentals of data warehousing

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

Observability Engineering - 2nd Edition by Charity Majors & Liz Fong-Jones & George Miranda (Paperback)

Low-Code AI - by Gwendolyn Stripling & Michael Abel (Paperback)

Mastering Shiny - by Hadley Wickham (Paperback)

Reliable Machine Learning - by Cathy Chen & Niall Richard Murphy & Kranti Parisa & D Sculley & Todd Underwood (Paperback)

AI at the Edge - by Daniel Situnayake & Jenny Plunkett (Paperback)

Implementing MLOps in the Enterprise - by Yaron Haviv & Noah Gift (Paperback)

Dataproc Cookbook - by Narasimha Sadineni & Anuyogam Venkataraman (Paperback)

Supply Chain Software Security - by Aamiruddin Syed (Paperback)

Essential Math for AI - by Hala Nelson (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

Explainable AI for Practitioners - by Michael Munn & David Pitman (Paperback)

Causal Inference in Python - by Matheus Facure (Paperback)

Fundamentals of Devops and Software Delivery - by Yevgeniy Brikman (Paperback)

Deciphering Data Architectures - by James Serra (Paperback)

3D Data Science with Python - by Florent Poux (Paperback)

The Evolution of Electronic Procurement - by Tobias Schoenherr (Hardcover)

Big Data Management - by Peter Ghavami (Paperback)

Fundamentals of Enterprise Architecture - by Tanu McCabe (Paperback)

Learning Automl - by Kerem Tomak (Paperback)

Procurement, Materials Handling and Customer Service in Supply Chain Management - by Bruce Robinson (Hardcover)

Handbook of Blockchain Analytics - (Springer Handbooks of Computational Statistics) (Hardcover)