introduction to algorithms by cormen

Data-Centric Machine Learning with Python - by Jonas Christensen & Nakul Bajaj & Manmohan Gosada (Paperback)

The Master Algorithm - by Pedro Domingos (Paperback)

Introduction to the Philosophy of Mathematics - (Mathematics Study Resources) by Jörg Neunhäuserer (Paperback)

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

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

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

Introduction to Computational Thinking - by Thomas Mailund (Paperback)

Automating Open Source Intelligence - by Robert Layton & Paul A Watters (Paperback)

An Introduction to Ordinary Differential Equations - (Dover Books on Mathematics) by Earl A Coddington (Paperback)

Ten Modern Cryptographic Algorithms - by Renita Murimi (Paperback)

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

MATLAB Machine Learning Recipes - 4th Edition by Layla Mohsen & Michael Paluszek & Stephanie Thomas (Paperback)

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

End-to-End Automation with Kubernetes and Crossplane - by Arun Ramakani (Paperback)

Java Challenges - by Michael Inden (Paperback)

The AI Conundrum - by Caleb Briggs & Rex Briggs

Machine Learning for Hackers - by Drew Conway & John Myles White (Paperback)

Introduction to the Physics and Psychophysics of Music - by Juan G Roederer (Paperback)

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

Introduction to the Foundations of Applied Mathematics - (Texts in Applied Mathematics) 2nd Edition by Mark H Holmes (Paperback)

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

An Introduction to Coastal Ecology - (Tertiary Level Biology) by P J Boaden & R Seed (Paperback)

Introduction to Linear and Matrix Algebra - by Nathaniel Johnston (Paperback)

Introduction to Transfer Learning - (Machine Learning: Foundations, Methodologies, and Applications) by Jindong Wang & Yiqiang Chen (Paperback)