introduction to algorithms 2nd edition

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

Programming 101 - 2nd Edition by Jeanine Meyer (Paperback)

The Algorithm Design Manual - (Texts in Computer Science) 3rd Edition by Steven S Skiena

Simulation Theory for Beginners - by House of Abundance Publications

Iapp Cipp / Us Certified Information Privacy Professional Study Guide - (Sybex Study Guide) 2nd Edition by Mike Chapple & Joe Shelley (Paperback)

Machine Learning Design Patterns - by Valliappa Lakshmanan & Sara Robinson & Michael Munn (Paperback)

Fundamentals of Software Architecture - 2nd Edition by Mark Richards & Neal Ford (Paperback)

Generative Engine Optimization: Sichtbar in Ki-Systemen - (Essentials) by Benjamin O'Daniel & Fabian Jaeckert (Paperback)

MC Microsoft Certified Azure Fundamentals Study Guide - (Sybex Study Guide) 2nd Edition by Jim Boyce (Paperback)

Practical Statistics for Data Scientists - 2nd Edition by Peter Bruce & Andrew Bruce & Peter Gedeck (Paperback)

Your Boss Is an Algorithm - by Antonio Aloisi & Valerio de Stefano (Paperback)

Introduction to Statistical Machine Learning - by Masashi Sugiyama (Paperback)

Architected Intelligence - by Jacob Miller & Jeremy Mumford (Hardcover)

Can AI Be Controlled? - (The Science of AI) by John Allen (Hardcover)

Fight Fraud with Machine Learning - by Ashish Ranjan Jha (Paperback)

Mining the Social Web - 3rd Edition by Matthew A Russell & Mikhail Klassen (Paperback)

How to Win - by Arthur Benjamin (Hardcover)