introduction to algorithms by cormen

Quantum Progression(tm) - by Valerie Capers-Workman (Hardcover)

Essential Algorithms: A Practical Approach to Computer Algorithms - by Joe Oswald (Hardcover)

Advanced Data Analytics Using Python - 2nd Edition by Sayan Mukhopadhyay & Pratip Samanta (Paperback)

Foundations of Data Intensive Applications - by Supun Kamburugamuve & Saliya Ekanayake (Paperback)

Introduction to Applied Optimization - (Springer Optimization and Its Applications) 2nd Edition by Urmila Diwekar (Hardcover)

Introduction to String Field Theory - by Warren Siegel (Paperback)

Learn Keras for Deep Neural Networks - by Jojo Moolayil (Paperback)

Mastering Algorithms with C - by Kyle Loudon (Paperback)

Hands-On Salesforce Einstein Studio and GPT Intelligence - by Joseph Kubon & Luke Pond & Andy Forbes (Paperback)

Natural Language Processing Projects - by Akshay Kulkarni & Adarsha Shivananda & Anoosh Kulkarni (Paperback)

Deep Learning - by Andrew Glassner (Paperback)

Introduction to Artificial Life - by Christopher Adami (Mixed Media Product)

An Introduction to Algebraic Topology - (Dover Books on Mathematics) by Andrew H Wallace (Paperback)

A Concrete Introduction to Higher Algebra - (Undergraduate Texts in Mathematics) 3rd Edition by Lindsay N Childs

The Master Algorithm - by Pedro Domingos (Paperback)

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

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

Introduction to Computational Thinking - by Thomas Mailund (Paperback)

Building the Innovative Organization - by J Christiansen (Hardcover)

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

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