aws data labs

Visualize This - 2nd Edition by Nathan Yau (Paperback)

Gyrators, Simulated Inductors and Related Immittances - (Materials, Circuits and Devices) (Hardcover)

Vector Databases - by Nitin Borwankar (Paperback)

Learning in Energy-Efficient Neuromorphic Computing: Algorithm and Architecture Co-Design - (IEEE Press) by Nan Zheng (Hardcover)

Learning Spark - 2nd Edition by Jules S Damji & Brooke Wenig & Tathagata Das & Denny Lee (Paperback)

Oracle PL/SQL Language Pocket Reference - 5th Edition by Steven Feuerstein & Bill Pribyl & Chip Dawes (Paperback)

Fundamentals of Business Process Management - 2nd Edition by Marlon Dumas & Marcello La Rosa & Jan Mendling & Hajo A Reijers

High Performance Computing - HIPC 2000 - (Lecture Notes in Computer Science) by Mateo Valero & Viktor K Prasanna & Sriram Vajapeyam (Paperback)

Generative AI for Leaders - by Amir Husain (Hardcover)

MongoDB Applied Design Patterns - by Rick Copeland (Paperback)

Statistics Using Python - by Oswald Campesato (Paperback)

Streaming Systems - by Tyler Akidau & Slava Chernyak & Reuven Lax (Paperback)

Artificial Intelligence - by Neil Wilkins

Time Series Analysis with Python Cookbook - Second Edition - 2nd Edition by Tarek A Atwan (Paperback)

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

Cockroachdb: The Definitive Guide - 2nd Edition by Guy Harrison & Jesse Seldess & Ben Darnell & Rob Reid (Paperback)

Deep Learning with R - by Francois Chollet (Paperback)

From Chaos to Clarity - by James Eagle (Hardcover)

Postgresql: Up and Running - 4th Edition by Regina O Obe & Leo S Hsu (Paperback)

The Emerging Science of Machine Learning Benchmarks - by Moritz Hardt (Hardcover)

Splunk 9.x Enterprise Certified Admin Guide - by Srikanth Yarlagadda (Paperback)

Fundamentals of Active Inference - by Sanjeev V Namjoshi (Hardcover)

Foundations of Cloud Computing - by Robert Shimonski (Paperback)

People Analytics Explained - (HR Skills Guide) by Kinsey Li (Paperback)