Title: Practical Deep Learning, 2nd Edition: A Python-Based Introduction, Author: Ronald T. Kneusel
Title: Graph Algorithms the Fun Way: Powerful Algorithms Decoded, Not Oversimplified, Author: Jeremy Kubica
Title: Deep Learning: A Visual Approach, Author: Andrew Glassner
Title: Practical Deep Learning: A Python-Based Introduction, Author: Ronald T. Kneusel
Title: Natural Language Processing in Action, Second Edition, Author: Hobson Lane
Title: Graph Neural Networks in Action, Author: Keita Broadwater
Title: Machine Learning with PyTorch and Scikit-Learn: Develop machine learning and deep learning models with Python, Author: Sebastian Raschka
Title: Math and Architectures of Deep Learning, Author: Krishnendu Chaudhury
Title: Deep Learning with JAX, Author: Grigory Sapunov
Title: Mastering PyTorch - Second Edition: Create and deploy deep learning models from CNNs to multimodal models, LLMs, and beyond, Author: Ashish Ranjan Jha
Title: Neural Networks: A Systematic Introduction, Author: Raul Rojas
Title: Deep Learning with R, Second Edition, Author: Francois Chollet
Title: Deep Learning and the Game of Go, Author: Max Pumperla
Title: Evolutionary Deep Learning: Genetic algorithms and neural networks, Author: Micheal Lanham
Title: Bayesian Optimization in Action, Author: Quan Nguyen
Title: Artificial Neural Networks for Computer Vision, Author: Yi-Tong Zhou
Title: Learning Systems, Author: Eduard Aved'yan
Title: Intelligence and Artificial Intelligence: An Interdisciplinary Debate, Author: Ulrich Ratsch
Title: Gradient Expectations: Structure, Origins, and Synthesis of Predictive Neural Networks, Author: Keith L. Downing
Title: Transformers for Machine Learning: A Deep Dive, Author: Uday Kamath

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