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by Madhumita Murgia
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Advances in Financial Machine Learning
by Marcos Lopez de Prado
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Artificial Intelligence
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Deep Learning
by Ian Goodfellow (Senior Research Scientist, OpenAI)
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Foundations of Machine Learning
by Mehryar Mohri (New York University)
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Introduction to Machine Learning
by Ethem Alpaydin (OEzyegin University)
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Responsible Artificial Intelligence
by Virginia Dignum
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Dark Aeon
by Joe Allen
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Pattern Recognition and Machine Learning
by Christopher M. Bishop
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AI for Retail
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How AI Thinks
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Information Design for the Common Good
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Principles of Systems
by Jay W Forrester
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Universal Principles of UX
by Irene Pereyra
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Reinforcement Learning
by Richard S. Sutton (University of Alberta)
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Logics for Computer Science
by Anita Wasilewska
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The Elements of Statistical Learning
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An Introduction to Default Logic
by Philippe Besnard
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Real-Time C++
by Christopher Kormanyos
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Acing the System Design Interview
by Zhiyong Tan
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Numerical Recipes 3rd Edition
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Probabilistic Machine Learning
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Symbols
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The Official (ISC)2 CISSP CBK Reference
by Arthur J. Deane
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Elements of Causal Inference
by Jonas Peters (Associate Professor of Statistics, University of Copenhagen)
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Computational Geometry
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Multirate Statistical Signal Processing
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Philosophical Frameworks for Understanding Information Systems
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Machine Learning
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Object Recognition
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Prediction Machines
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Your AI Survival Guide
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Cooperative Control of Multi-Agent Systems
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Risk Assessment and Decision Analysis with Bayesian Networks
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Faking It
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The City in the City
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Machines Behaving Badly
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Fundamentals of Image Data Mining
by Dengsheng Zhang
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Simulation Modeling and Analysis, Sixth Edition
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Gaussian Processes for Machine Learning
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The Art of High Performance Computing for Computational Science, Vol. 1
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Fundamentals of Algebraic Graph Transformation
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BIM Handbook
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Multi-Agent Technologies and Machine Learning
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Making a Metaverse That Matters
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AI Ethics
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Self-Repair Networks
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Smart Embedded Systems and Applications
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