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Reliable Machine Learning - by Cathy Chen & Niall Richard Murphy & Kranti Parisa & D Sculley & Todd Underwood (Paperback)

R for Data Science - 2nd Edition by Hadley Wickham & Mine Cetinkaya-Rundel & Garrett Grolemund (Paperback)

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

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

Data Algorithms with Spark - by Mahmoud Parsian (Paperback)

Building AI-Powered Products - by Marily Nika (Paperback)

3D Data Science with Python - by Florent Poux (Paperback)

Engineering Resilient Systems on AWS - by Kevin Schwarz & Jennifer Moran & Nate Bachmeier (Paperback)

Machine Learning for Financial Risk Management with Python - by Abdullah Karasan (Paperback)

Data Engineering with Python - by Paul Crickard (Paperback)

Practical Python Data Wrangling and Data Quality - by Susan E McGregor (Paperback)

Microsoft Fabric Analytics Engineer Associate Study Guide - by Brian Bønk & Valerie Junk (Paperback)

Semantic Modeling for Data - by Panos Alexopoulos (Paperback)

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

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

Engineering Data Mesh in Azure Cloud - by Aniruddha Deswandikar (Paperback)

The Multiplier Mindset - by Gregor Ojstersek (Paperback)

Gitops Cookbook - by Natale Vinto & Alex Soto Bueno (Paperback)

Programming Quantum Computers - by Eric R Johnston & Nic Harrigan & Mercedes Gimeno-Segovia (Paperback)

Data Pipelines Pocket Reference - by James Densmore (Paperback)

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

Web Performance Engineering in the Age of AI - by Addy Osmani (Paperback)

Python and R for the Modern Data Scientist - by Rick J Scavetta & Boyan Angelov (Paperback)

The Definitive Guide to Azure Data Engineering - by Ron C L'Esteve (Paperback)