researching information systems and computing

Policy as Code - by Jimmy Ray (Paperback)

Financial Theory with Python - by Yves Hilpisch (Paperback)

Practical AI on the Google Cloud Platform - by Micheal Lanham (Paperback)

Effective Machine Learning Teams - by David Tan & Ada Leung & David Colls (Paperback)

Designing Autonomous AI - by Kence Anderson (Paperback)

Droid 2: The Missing Manual - (Missing Manuals) by Preston Gralla (Paperback)

AI and ML for Coders in Pytorch - by Laurence Moroney (Paperback)

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

Fundamentals of Enterprise Architecture - by Tanu McCabe (Paperback)

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

Scaling Machine Learning with Spark - by Adi Polak (Paperback)

Head First C - by David Griffiths & Dawn Griffiths (Paperback)

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

Being Geek - by Michael Lopp (Paperback)

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

Smaller C - by Marc Loy (Paperback)

Software Architecture Patterns, Antipatterns, and Pitfalls - by Mark Richards & Neal Ford & Raju Gandhi (Paperback)

Windows 8.1: Out of the Box - 2nd Edition by Mike Halsey (Paperback)

NUnit Pocket Reference - by Bill Hamilton (Paperback)

Making Data Visual - by Danyel Fisher & Miriah Meyer (Paperback)

Designing Bots - by Amir Shevat (Paperback)

QuickBooks 2012: The Missing Manual - by Bonnie Biafore (Paperback)

Tidy Modeling with R - by Max Kuhn & Julia Silge (Paperback)

Perl Debugger Pocket Reference - by Richard Foley (Paperback)