datavac pro series

How to AI - by Christopher Mims (Hardcover)

Deep Learning with Python, Second Edition - by Francois Chollet (Paperback)

Strong Medicine - by Michael Kremer & Rachel Glennerster (Hardcover)

Google Machine Learning and Generative AI for Solutions Architects - by Kieran Kavanagh (Paperback)

In Cheap We Trust - by Lauren Weber (Paperback)

Data Science Essentials for Dummies - by Lillian Pierson (Paperback)

Measuring Inclusion - by Paolo Gaudiano

Cybersecurity - (HBR Insights) by Harvard Business Review & Alex Blau & Andrew Burt & Boris Groysberg & Roman V Yampolskiy (Paperback)

Thrive - by Ravi Bapna & Anindya Ghose

Ontwerp Van Zorgtrajecten/Zorgketens - by Marlou de Kuiper (Paperback)

Python Data Analytics - 3rd Edition by Fabio Nelli (Paperback)

Shock Values - by Carola Binder (Hardcover)

Behavioral AI - by Rogayeh Tabrizi (Hardcover)

The Datapreneurs - by Bob Muglia & Steve Hamm (Hardcover)

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

The Ambition Penalty - by Stefanie O'Connell (Hardcover)

A Useful Guide to Useless Facts That Are Kinda Useful - by Brass Brass Monkey (Hardcover)

From Trustworthy AI Principles to Public Procurement Practices - (De Gruyter Contemporary Social Sciences) by Merve Hickok (Hardcover)

The Algebra of Wealth - by Scott Galloway (Hardcover)