aws data labs

Practical AI Security - by Harriet Farlow (Paperback)

Agentic AI for Dummies - by Pam Baker (Paperback)

Learning Microsoft Power Bi - by Jeremey Arnold (Paperback)

Hands-On Machine Learning with Scikit-Learn, Keras, and Tensorflow - 3rd Edition by Aurélien Géron (Paperback)

Supercharge Power Bi - 3rd Edition by Matt Allington (Paperback)

Deep Learning with Pytorch - by Eli Stevens & Luca Antiga & Thomas Viehmann (Paperback)

Designing Machine Learning Systems - by Chip Huyen (Paperback)

Practical Deep Learning, 2nd Edition - by Ronald T Kneusel (Paperback)

Learning SQL - 3rd Edition,Annotated by Alan Beaulieu (Paperback)

Tubes - by Andrew Blum (Paperback)

Causal Inference in Python - by Matheus Facure (Paperback)

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

The Web Beneath the Waves - by Samanth Subramanian (Paperback)

Engineering Lakehouses with Open Table Formats - by Dipankar Mazumdar & Vinoth Govindarajan (Paperback)

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

Getting Started with Enterprise Architecture - by Eric Jager (Paperback)

Microsoft Power BI For Dummies - by Jack A Hyman (Paperback)

Hands-On Machine Learning with Scikit-Learn and Pytorch - by Aurélien Géron (Paperback)

Hands-On Large Language Models - by Jay Alammar & Maarten Grootendorst (Paperback)

Database Internals - by Alex Petrov (Paperback)

High Performance Spark - 2nd Edition by Holden Karau & Adi Polak & Rachel Warren (Paperback)

Prompt Engineering for Llms - by John Berryman & Albert Ziegler (Paperback)

Grokking Relational Database Design - by Qiang Hao & Michail Tsikerdekis (Paperback)

Mathletics - by Wayne L Winston & Scott Nestler & Konstantinos Pelechrinis (Paperback)