introduction to algorithms by cormen

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

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

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

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

What Algorithms Want - by Ed Finn (Paperback)

Algorithmic Realism - by Ben Green (Paperback)

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

Generative Art - by Amir Husain

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

Ubiquitous Intelligence and Computing - by Braylen Stevenson (Hardcover)

Stochastic Finance with Python - by Avishek Nag (Paperback)

Introduction to Python for Engineers and Scientists - by Sandeep Nagar (Paperback)

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

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

Quite Possibly the Best Introduction to AI - (Instant Expert) by Fola Yahaya (Hardcover)

Introduction to Flight Testing - (Aerospace) by James W Gregory & Tianshu Liu (Hardcover)

Convex Optimization for Machine Learning - by Changho Suh (Hardcover)

Introduction to Sparxsystems Enterprise Architect - by Peter Doomen (Paperback)

An Introduction to the Theory of the Boltzmann Equation - (Dover Books on Physics) by Stewart Harris (Paperback)

Machine Learning Algorithms in Depth - by Vadim Smolyakov (Paperback)

Introduction to Evolutionary Computing - (Natural Computing) 2nd Edition by Agoston E Eiben & J E Smith (Paperback)

Introduction to Generative AI with Julia and Python - by Pierluigi Riti (Paperback)