Computational Thinking for the Modern Problem Solver
David Riley
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Optimization Algorithms on Matrix Manifolds
P.-A. Absil
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AI for Marketing and Product Innovation : Powerful New Tools for Predicting Trends, Connecting with Customers, and Closing Sales
A. K. Pradeep
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The Developmental Organization of Robot Behavior
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Awkward Intelligence
Katharina A. Zweig
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The Principles of Deep Learning Theory : An Effective Theory Approach to Understanding Neural Networks
Daniel A. (Massachusetts Institute of Technology) Roberts
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Introduction to AI Robotics
Robin R. (Raytheon Professor of Computer Science & Engineering Murphy
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Computer Architecture for Scientists : Principles and Performance
Andrew A. (University of Chicago) Chien
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From Fingers to Digits : An Artificial Aesthetic
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Applied Survey Data Analysis
Steven G. (University of Michigan) Heeringa
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Heteromation, and Other Stories of Computing and Capitalism
Hamid R. (Professor of Informatics, Cognitive Science, and Inte Ekbia
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Mathematics for Machine Learning
Marc Peter (University College London) Deisenroth
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A First Course in Fuzzy Logic, Fuzzy Dynamical Systems, and Biomathematics : Theory and Applications
Laecio Carvalho de Barros
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Machine Learning for Signal Processing : Data Science, Algorithms, and Computational Statistics
Prof Max A. (Professor of Mathematics, Aston University, Profe Little
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Bioinformatics : A Practical Guide to NCBI Databases and Sequence Alignments
Hamid D. (NC A&T State University, North Carolina, USA) Ismail
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Probabilistic Numerics : Computation as Machine Learning
Philipp (Eberhard-Karls-Universitat Tubingen, Germany) Hennig
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The Year in Tech, 2024 : The Insights You Need from Harvard Business Review
Harvard Business Review
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Swarm Intelligence and its Applications in Biomedical Informatics
A. Sheik Abdullah
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Cybercrime and Cybersecurity
Paul A. Watters
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Mathematical Transformations and Wavelet Filters for Source Coding and Signal Processing Systems
William A. Pearlman
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Modeling and Simulation of Complex Collective Systems
Jarosław Was
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The Design Inference : Eliminating Chance through Small Probabilities
William A Dembski
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