Deep Learning in Science
Pierre (University of California, Irvine) Baldi
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Python for Probability, Statistics, and Machine Learning
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Linear Algebra And Optimization With Applications To Machine Learning - Volume Ii: Fundamentals Of Optimization Theory With Applications To Machine Learning
Jean H (Univ Of Pennsylvania, Usa) Gallier
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The Nature of Complex Networks
Sergey N. (Researcher, Researcher, Department of Physics, Dorogovtsev
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Designing Reliable Distributed Systems : A Formal Methods Approach Based on Executable Modeling in Maude
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Add to BasketProbability and Statistics for Computer Scientists
Michael (American University, Washington, DC) Baron
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Data Science for Mathematicians
Nathan Carter
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Handbook of Price Impact Modeling
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The Theory of Quantum Information
John (University of Waterloo, Ontario) Watrous
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Mathematical Logic and Computation
Jeremy (Carnegie Mellon University, Pennsylvania) Avigad
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A Course in Mathematical Statistics and Large Sample Theory
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Sparse Polynomial Approximation of High-Dimensional Functions
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Statistical Field Theory for Neural Networks
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J. Christopher Westland
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Add to BasketUnderstand Mathematics, Understand Computing : Discrete Mathematics That All Computing Students Should Know
Arnold L. Rosenberg
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Planetary Spacecraft Navigation
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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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Adrian Barbu
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Proven Impossible : Elementary Proofs of Profound Impossibility from Arrow, Bell, Chaitin, Godel, Turing and More
Dan (University of California, Davis) Gusfield
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A Promenade in Mathematical Proofs with Comprehensive Review of Proof Techniques
Abdelouahed Hamdi
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Reflections on the Foundations of Probability and Statistics : Essays in Honor of Teddy Seidenfeld
Thomas Augustin
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High Performance Computing in Science and Engineering '21 : Transactions of the High Performance Computing Center, Stuttgart (HLRS) 2021
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Fourier Optics and Computational Imaging
Kedar Khare
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