grokking algorithms

The Rise of the Algorithms - by John M Jordan (Paperback)

Algorithms - by Genics Trust (Paperback)

Algorithmic Capital - by Jonathan Martineau & Jonathan Durand Folco (Paperback)

Grokking Deep Learning - by Andrew Trask (Paperback)

Grammatical Inference: Algorithms and Applications - by Pieter Adriaans & Henning Fernau & Menno Van Zaanen (Paperback)

Distributed Algorithms for Message-Passing Systems - Annotated by Michel Raynal (Paperback)

Algospeak - by Adam Aleksic

Ten Modern Cryptographic Algorithms - by Renita Murimi (Paperback)

Machine Learning Design Patterns - by Valliappa Lakshmanan & Sara Robinson & Michael Munn (Paperback)

Algorithmic Realism - by Ben Green (Paperback)

Stochastic Algorithms: Foundations and Applications - (Lecture Notes in Computer Science) by Kathleen Steinhöfel (Paperback)

Grokking Machine Learning, Second Edition - by Luis Serrano (Paperback)

Quantum Machine Learning - (De Gruyter Frontiers in Computational Intelligence) (Hardcover)

Mastering Algorithms with C - by Kyle Loudon (Paperback)

Algorithms to Live by - by Brian Christian & Tom Griffiths

Algorithmic Learning Theory - by Marcus Hutter & Frank Stephan & Vladimir Vovk & Thomas Zeugmann (Paperback)

Machine Learning Applications - (De Gruyter Frontiers in Computational Intelligence) by Rik Das & Siddhartha Bhattacharyya & Sudarshan Nandy

Math(s) Fix: An Education Blueprint for the AI Age - by Conrad Wolfram (Paperback)

Algorithms and Data Structures - by Kurt Mehlhorn & Peter Sanders (Hardcover)

Graphics Recognition: Algorithms and Systems - (Lecture Notes in Computer Science) by Karl Tombre & Atul K Chhabra (Paperback)

Approximation Algorithms for Combinatorial Optimization - (Lecture Notes in Computer Science) by Klaus Jansen & Jose Rolim (Paperback)

Algorithms and Computation - (Lecture Notes in Computer Science) by Kyung-Yong Chwa & Oscar H Ibarra (Paperback)

Algorithms and Computation - (Lecture Notes in Computer Science) by Hon Wai Leong & Hiroshi Imai & Sanjay Jain (Paperback)