Title: How AI Works: From Sorcery to Science, Author: Ronald T. Kneusel

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Title: Machine Learning with PyTorch and Scikit-Learn: Develop machine learning and deep learning models with Python, Author: Sebastian Raschka
Title: Grokking Deep Learning, Author: Andrew Trask

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Title: Elements of Causal Inference: Foundations and Learning Algorithms, Author: Jonas Peters
Title: Unsupervised Learning: Foundations of Neural Computation / Edition 1, Author: Geoffrey Hinton
Title: Managing Machine Learning Projects: From design to deployment, Author: Simon Thompson

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Title: Make Your Own Neural Network, Author: Tariq Rashid

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Title: Machine Learning with R, the tidyverse, and mlr, Author: Hefin I. Rhys

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Title: On Intelligence: How a New Understanding of the Brain Will Lead to the Creation of Truly Intelligent Machines, Author: Jeff Hawkins
Title: The Harmonic Mind: From Neural Computation to Optimality-Theoretic Grammar Volume II: Linguistic and Philosophical Implications, Author: Paul Smolensky
Title: AI for Finance, Author: Edward P. K. Tsang
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Title: Imitation of Life: How Biology Is Inspiring Computing, Author: Nancy  Forbes

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Title: Deep Learning with R, Author: Francois Chollet
Title: Interpretability and Explainability in AI Using Python: Decrypt AI Decision-Making Using Interpretability and Explainability with Python to Build Reliable Machine Learning Systems (English Edition), Author: Aruna Chakkirala

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Title: I wonder if Stella thinks about me: Tesla, Minions, & Artificial Intelligence, Author: Todd Lefor
Title: Introduction to TinyML, Author: Rohit Sharma

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Title: A.R.G.E.O.N. & The Quantum Architect - Bridging America's Quantum A.I. Future, Author: James Neil Carpenter

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Title: What Everyone Should Know About the Rise of AI: AI Transparency, Privacy, and Ethics Best Practices, Author: Rodney Puplampu

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Title: What Everyone Should Know About the Rise of AI: AI Transparency, Privacy, and Ethics Best Practices, Author: Rodney Puplampu

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Title: Statistics with Rust, Second Edition: Explore rust programming and its powerful crates across data science, machine learning and NLP projects, Author: Keiko Nakamura

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