bigdata conference

Virtual You - by Peter Coveney & Roger Highfield

Tinyml - by Pete Warden & Daniel Situnayake (Paperback)

Avoiding Data Pitfalls - by Ben Jones (Paperback)

Graph Neural Networks in Action - (In Action) by Keita Broadwater & Namid Stillman (Paperback)

Efficient Cloud FinOps - by Alfonso San Miguel Sánchez & Danny Obando García (Paperback)

Understanding the Digital World - by Brian W Kernighan (Hardcover)

Deep Learning for Dummies - by John Paul Mueller & Luca Massaron (Paperback)

Generative AI Security - (Future of Business and Finance) by Ken Huang & Yang Wang & Ben Goertzel & Yale Li & Sean Wright & Jyoti Ponnapalli

Python Data Cleaning and Preparation Best Practices - by Maria Zervou (Paperback)

SQL Cookbook - 2nd Edition by Anthony Molinaro & Robert de Graaf (Paperback)

Deep Learning - by Weidong Kuang & Heidi Kuang (Hardcover)

Tableau Certified Data Analyst Certification Guide - by Harry Cooney & Daisy Jones (Paperback)

Application Design for Wearable Computing - (Synthesis Lectures on Mobile & Pervasive Computing) by Dan Siewiorek & Asim Smailagic & Thad Starner

Data Science for Neuroimaging - by Ariel Rokem & Tal Yarkoni (Paperback)

Hands-On Azure Digital Twins - by Alexander Meijers (Paperback)

The Know-It-Alls - by Noam Cohen (Hardcover)

Python Data Science Handbook - 2nd Edition by Jake Vanderplas (Paperback)

Mining Graph Data - by Diane J Cook & Lawrence B Holder (Hardcover)

Deep Learning with Pytorch, Second Edition - by Luca Antiga & Eli Stevens & Howard Huang & Thomas Viehmann (Paperback)

Google Pocket Guide - by Tara Calishain & Rael Dornfest & DJ Adams (Paperback)

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

Wireshark for Network Forensics - by Nagendra Kumar Nainar & Ashish Panda (Paperback)