grokking algorithms

Graph Algorithms the Fun Way - by Jeremy Kubica (Paperback)

Advanced Markov Chain Monte Carlo - (Wiley Computational Statistics) by Faming Liang & Chuanhai Liu & Raymond Carroll (Hardcover)

Understanding Cryptography - by Christof Paar & Jan Pelzl (Paperback)

The Tyranny of Algorithms - by Miguel Benasayag (Paperback)

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

Evolutionary Computation for Modeling and Optimization - by Daniel Ashlock (Hardcover)

Knowledge-Based Clustering - by Witold Pedrycz (Hardcover)

Building Responsible AI Algorithms - by Toju Duke (Paperback)

An Introduction to Machine Learning - by Gopinath Rebala & Ajay Ravi & Sanjay Churiwala (Paperback)

Genetic Algorithms and Engineering Design - (Engineering Design and Automation) by Mitsuo Gen & Runwei Cheng (Hardcover)

Fundamentals of Convex Analysis - (Grundlehren Text Editions) Abridged by Jean-Baptiste Hiriart-Urruty & Claude Lemaréchal (Paperback)

Metaheuristic Procedures for Training Neural Networks - (Operations Research/Computer Science Interfaces) by Enrique Alba & Rafael Martí (Hardcover)

Optimization: An Introduction - (Studies in Systems, Decision and Control) by Libor Peka&#345 (Hardcover)

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

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

Algorithmen Und Datenstrukturen - (De Gruyter Studium) 3rd Edition by Norbert Blum (Paperback)

Esclavos del Algoritmo. Manual de Resistencia En La Era de la Inteligencia Artificial / Slaves of the Algorithm - by Laura G de Rivera (Paperback)

Programming Algorithms in LISP - by Vsevolod Domkin (Paperback)

Analog and Hybrid Computer Programming - (De Gruyter Textbook) 2nd Edition by Bernd Ulmann (Paperback)

The Practical Guide to Large Language Models - by Ivan Gridin (Paperback)

Introduction to Computational Thinking - by Thomas Mailund (Paperback)

State-Of-The-Art Deep Learning Models in Tensorflow - by David Paper (Paperback)

Build a Reasoning Model (from Scratch) - (From Scratch) by Sebastian Raschka (Paperback)

Introduction to Imprecise Probabilities - (Wiley Probability and Statistics) (Hardcover)