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Fundamentals of Deep Learning
by Nithin Buduma
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The City in the City
by Amy Thomas
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Machines Behaving Badly
by Toby Walsh
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Programming Machine Learning
by Paolo Perrotta
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Learn WinUI 3
by Alvin Ashcraft
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A Practical Guide to SysML
by Sanford Friedenthal (MBSE Consultant)
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Multiple View Geometry in Computer Vision
by Richard Hartley (Australian National University, Canberra)
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Practical Natural Language Processing
by Sowmya Vajjala
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Data Science: The Hard Parts
by Daniel Vaughan
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Architecting Data and Machine Learning Platforms
by Marco Tranquillin
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Grokking Deep Reinforcement Learning
by Miguel Morales
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Graph Neural Networks: Foundations, Frontiers, and Applications
by Lingfei Wu
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Effective Computation in Physics
by Anthony Scopatz
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Artificial Intelligence Fundamentals for Business Leaders
by I Almeida
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Simulation Modeling and Analysis, Sixth Edition
by Averill Law
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The Artist in the Machine
by Arthur I. Miller
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The Computational Beauty of Nature
by Gary William Flake
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Systems Thinking for Business and Management
by Professor Umit S Bititci
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Neural Networks and Deep Learning
by Charu C. Aggarwal
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Text Mining with R
by Julia Silge
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Data Science on AWS
by Chris Fregly
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Parallel Distributed Processing
by David E. Rumelhart
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Digital Fluency
by Volker Lang
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Machine Learning for High-Risk Applications
by Patrick Hall
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CUDA for Engineers
by Duane Storti
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Learning Tensorflow.js
by Gant Laborde
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The Art of High Performance Computing for Computational Science, Vol. 1
by Masaaki Geshi
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Common Sense, the Turing Test, and the Quest for Real AI
by Hector J. Levesque (Professor Emeritus, University of Toronto)
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Parametric Modeling with Siemens NX
by Randy H. Shih
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Learning Data Science
by Sam Lau
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Foundation Models for Natural Language Processing
by Gerhard Paa
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Computational Thinking
by Peter J. Denning (Distinguished ProfessorChair of Computer Science)
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Practical Data Quality
by Robert Hawker
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Drawing Data with Kids
by Gulrez Khan
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Reliable Machine Learning
by Cathy Chen
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Fundamentals of Algebraic Graph Transformation
by Hartmut Ehrig
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CEH Certified Ethical Hacker All-in-One Exam Guide, Fifth Edition
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Interactive Data Visualization for the Web
by Scott Murray
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CTS-I Certified Technology Specialist-Installation Exam Guide, Second Edition
by AVIXA Inc.
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I Am Code
by code-davinci-002
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Practical MLOps
by Noah Gift
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97 Things Every Data Engineer Should Know
by Tobias Macey
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Building Statistical Models in Python
by Huy Hoang Nguyen
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Reinforcement Learning
by Phil Winder Ph.D.
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Think DSP
by Allen B. Downey
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A Theory of Objects
by Martin Abadi
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Semantic Modeling for Data
by Panos Alexopoulos
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Hands-On GPU-Accelerated Computer Vision with OpenCV and CUDA
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