introduction to algorithms by cormen

Machine Learning and AI with Simple Python and MATLAB Scripts - (IEEE Press) by M Umit Uyar (Hardcover)

Machine Learning Platform Engineering - (From Scratch) by Benjamin Tan Wei Hao & Shanoop Padmanabhan & Varun Mallya (Paperback)

Build a Deepseek Model (from Scratch) - (From Scratch) by Raj Abhijit Dandekar & Rajat Dandekar & Naman Dwivedi & Sreedath Pana (Paperback)

Answer Engine Optimization - by Rodrigo Stockebrand (Paperback)

Ten Modern Cryptographic Algorithms - by Renita Murimi (Paperback)

SQL- a Simple Introduction by Cliff - by Cliff Beacham (Paperback)

Joe Celko's SQL Puzzles and Answers - (The Morgan Kaufmann Data Management Systems) 2nd Edition (Paperback)

The AI Conundrum - by Caleb Briggs & Rex Briggs

Evals for AI Engineers - by Shreya Shankar & Hamel Husain (Paperback)

Data Management for Natural Scientists - (De Gruyter Textbook) by Matthias Hofmann (Paperback)

Machine Learning Concepts with Python and the Jupyter Notebook Environment - by Nikita Silaparasetty (Paperback)

Essential Algorithms - 2nd Edition by Rod Stephens (Paperback)

Generative Art - by Amir Husain

Ubiquitous Intelligence and Computing - by Braylen Stevenson (Hardcover)

Stochastic Finance with Python - by Avishek Nag (Paperback)

Algorithms for Validation - by Mykel J Kochenderfer & Sydney M Katz & Anthony L Corso & Robert J Moss (Hardcover)

What Algorithms Want - by Ed Finn (Paperback)

Algorithmic Realism - by Ben Green (Paperback)

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

Test Automation Fundamentals - by Manfred Baumgartner & Thomas Steirer & Marc-Florian Wendland & Stefan Gwihs & Julian Hartner & Richard Seidl

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

Fuzzy Systems: Theory and Applications - by Joshua Hawk (Hardcover)