Machine Learning : A Constraint-Based Approach
Marco (Department of Information Engineering and Mathematics, Un Gori
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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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Time Series for Data Scientists : Data Management, Description, Modeling and Forecasting
Juana (University of California, Los Angeles) Sanchez
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Introduction to Environmental Data Science
William W. (University of British Columbia, Vancouver) Hsieh
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Inference and Learning from Data: Volume 1 : Foundations
Ali H. (Ecole Polytechnique Federale de Lausanne) Sayed
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Inference and Learning from Data: Volume 3 : Learning
Ali H. (Ecole Polytechnique Federale de Lausanne) Sayed
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Statistical Field Theory for Neural Networks
Moritz Helias
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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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Deep Learning : Methods and Applications
Li Deng
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The Statistical Physics of Data Assimilation and Machine Learning
Henry D. I. (University of California, San Diego) Abarbanel
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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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Machine Learning with Noisy Labels : Definitions, Theory, Techniques and Solutions
Gustavo (Professor of AI and Machine Learning, Centre for Vi Carneiro
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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 in Healthcare and Security : Advances, Obstacles, and Solutions
Prashant (Dept. of Computer Science and Engineering, Birla Ins Pranav
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Statistics and Data Analysis for Engineers and Scientists
Tanvir Mustafy
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Advances in Digitalization and Machine Learning for Integrated Building-Transportation Energy Systems
Yuekuan, PhD (Assistant Professor, Sustainable Energy and Enviro Zhou
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Multi-Criteria Decision-Making for Renewable Energy : Methods, Applications, and Challenges
Mohamed, Ph.D (Associate Professor, Faculty of Computers Abdel-Basset
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Machine Learning in Earth, Environmental and Planetary Sciences : Theoretical and Practical Applications
Hossein (Associate Professor, Department of Civil Engineeri Bonakdari
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An Introduction to Narrative Generators : How Computers Create Works of Fiction
Rafael (Full Professor, Full Professor, Universidad Aut Perez y Perez
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