Quantitative Asset Management: Factor Investing and Machine Learning for Institutional Investing
Michael Robbins
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Linear Algebra for Data Science, Machine Learning, and Signal Processing
Jeffrey A. (University of Michigan, Ann Arbor) Fessler
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Tangles : A Structural Approach to Artificial Intelligence in the Empirical Sciences
Reinhard (Universitat Hamburg) Diestel
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Explainable and Interpretable Reinforcement Learning for Robotics
Aaron M. Roth
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Machine Learning for Environmental Noise Classification in Smart Cities
Ali Othman Albaji
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Gaussian Processes for Machine Learning
Carl Edward (University of Cambridge) Rasmussen
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Data-Driven Science and Engineering : Machine Learning, Dynamical Systems, and Control
Steven L. (University of Washington) Brunton
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The Theory and Practice of Enterprise AI : Recipes and Reference Implementations for Marketing, Supply Chain, and Production Operations
Ilya Katsov
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Bandit Algorithms
Tor (University of Alberta) Lattimore
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Deep Learning on Graphs
Yao (Michigan State University) Ma
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Machine Learning in Asset Pricing
Stefan Nagel
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Patterns, Predictions, and Actions : Foundations of Machine Learning
Moritz Hardt
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Topological Data Analysis with Applications
Gunnar (Stanford University, California) Carlsson
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Bayesian Optimization
Roman (Washington University in St Louis) Garnett
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Control Systems and Reinforcement Learning
Sean (University of Florida) Meyn
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Automated Machine Learning : Methods, Systems, Challenges
Frank Hutter
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Machine Learning
Zhi-Hua, PhD Zhou
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Machine Learning with Neural Networks : An Introduction for Scientists and Engineers
Bernhard (Goeteborgs Universitet, Sweden) Mehlig
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Machine Learning : The Basics
Alexander Jung
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Intelligent Metasurface Sensors
Lianlin (Peking University) Li
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Essentials of Python for Artificial Intelligence and Machine Learning
Pramod Gupta
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New Mechanism : Explanation, Emergence and Reduction
Joao L. Cordovil
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