The Statistical Physics of Data Assimilation and Machine Learning
Henry D. I. (University of California, San Diego) Abarbanel
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Introduction to Environmental Data Science
William W. (University of British Columbia, Vancouver) Hsieh
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Introduction to Graph Signal Processing
Antonio (University of Southern California) Ortega
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Foundations of Probabilistic Programming
Gilles Barthe
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High-Dimensional Statistics : A Non-Asymptotic Viewpoint
Martin J. Wainwright
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High-Dimensional Statistics : A Non-Asymptotic Viewpoint
Martin J. Wainwright
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Time Series for Data Scientists : Data Management, Description, Modeling and Forecasting
Juana (University of California, Los Angeles) Sanchez
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Bayesian Networks and Decision Graphs
Thomas Dyhre Nielsen
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Deep Learning : Methods and Applications
Li Deng
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Deep Learning for Physical Scientists : Accelerating Research with Machine Learning
Edward O. Pyzer-Knapp
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Algorithmic Trading Methods : Applications Using Advanced Statistics, Optimization, and Machine Learning Techniques
Robert (President, Kissell Research Group; Professor, Molloy Kissell
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The Era of Artificial Intelligence, Machine Learning, and Data Science in the Pharmaceutical Industry
Stephanie K. (Senior Artificial Intelligence and Machine Lea Ashenden
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Statistical Field Theory for Neural Networks
Moritz Helias
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Explainable AI with Python
Leonida Gianfagna
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Machine Learning for Engineers : Using data to solve problems for physical systems
Ryan G. McClarren
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Machine Learning for Text
Charu C. Aggarwal
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Linear Algebra And Optimization With Applications To Machine Learning - Volume I: Linear Algebra For Computer Vision, Robotics, And Machine Learning
Jean H (Univ Of Pennsylvania, Usa) Gallier
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Generative Adversarial Networks in Practice
Mehdi Ghayoumi
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Generative Adversarial Networks in Practice
Mehdi Ghayoumi
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Machine Learning in Healthcare and Security : Advances, Obstacles, and Solutions
Prashant (Dept. of Computer Science and Engineering, Birla Ins Pranav
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Putting AI in the Critical Loop : Assured Trust and Autonomy in Human-Machine Teams
Prithviraj (Computer Engineer, Distributed Intelligent Syste Dasgupta
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Trolley Crash : Approaching Key Metrics for Ethical AI Practitioners, Researchers, and Policy Makers
Peggy (RTX Technology Research Center, East Hartford, CT, USA) Wu
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Federated Learning : Theory and Practice
Lam M. (Staff Research Scientist at IBM Research, Thomas J. Wa Nguyen
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Machine Learning and Hybrid Modelling for Reaction Engineering : Theory and Applications
Dongda (University of Manchester, UK) Zhang
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