Title: Deep Learning, Author: Ian Goodfellow
Title: Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems, Author: Aur lien G ron
Title: Foundations of Computer Vision, Author: Antonio Torralba
Title: Cognitive Neuroscience of Memory, Author: Scott D. Slotnick
Title: Graph Algorithms the Fun Way: Powerful Algorithms Decoded, Not Oversimplified, Author: Jeremy Kubica Pre-Order Now
Title: Build a Large Language Model (From Scratch), Author: Sebastian Raschka Pre-Order Now
Title: Cognitive Neuroscience, Author: Marie T. Banich
Title: Math and Architectures of Deep Learning, Author: Krishnendu Chaudhury
Title: The Aesthetic Brain: How We Evolved to Desire Beauty and Enjoy Art, Author: Anjan Chatterjee
Title: Handbook of Logic in Artificial Intelligence and Logic Programming: Volume 1: Logical Foundations, Author: Dov M. Gabbay
Title: Grokking Artificial Intelligence Algorithms: Understand and apply the core algorithms of deep learning and artificial intelligence in this friendly illustrated guide including exercises and examples, Author: Rishal Hurbans
Title: Safety-II in Practice: Developing the Resilience Potentials, Author: Erik Hollnagel
Title: Beyond the Brain: How Body and Environment Shape Animal and Human Minds, Author: Louise Barrett
Title: Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications, Author: Chip Huyen
Title: Introduction to Machine Learning, fourth edition / Edition 4, Author: Ethem Alpaydin
Title: Machine Learning for Algorithmic Trading: Predictive models to extract signals from market and alternative data for systematic trading strategies with Python, Author: Stefan Jansen
Title: Swarm Intelligence: From Natural to Artificial Systems / Edition 1, Author: Eric Bonabeau
Title: Arduino Cookbook: Recipes to Begin, Expand, and Enhance Your Projects, Author: Michael Margolis
Title: AI at the Edge: Solving Real-World Problems with Embedded Machine Learning, Author: Daniel Situnayake
Title: Essential Math for Data Science: Take Control of Your Data with Fundamental Linear Algebra, Probability, and Statistics, Author: Thomas Nield

Pagination Links