Strong Gravitational Lensing in the Era of Big Data (IAU S381)
Hannah (Max Planck Institute for Astrophysics, Germany) Stacey
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Tangles : A Structural Approach to Artificial Intelligence in the Empirical Sciences
Reinhard (Universitat Hamburg) Diestel
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Healthcare Big Data Analytics : Computational Optimization and Cohesive Approaches
Akash Kumar Bhoi
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How to Speak Whale : A Voyage into the Future of Animal Communication
Tom Mustill
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Linear Algebra and Learning from Data
Gilbert (Massachusetts Institute of Technology) Strang
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Linear Algebra for Everyone
Gilbert (Massachusetts Institute of Technology) Strang
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High-Dimensional Probability : An Introduction with Applications in Data Science
Roman (University of California, Irvine) Vershynin
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High-Dimensional Statistics : A Non-Asymptotic Viewpoint
Martin J. (University of California, Berkeley) Wainwright
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Data Mining : The Textbook
Charu C. Aggarwal
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The Data Science Design Manual
Professor Steven S. Skiena
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Pattern Recognition
Konstantinos (Institute for Space Applications & Remote S Koutroumbas
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Introduction to Applied Linear Algebra : Vectors, Matrices, and Least Squares
Stephen (Stanford University, California) Boyd
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Machine Learning Refined : Foundations, Algorithms, and Applications
Jeremy (Northwestern University, Illinois) Watt
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Outlier Analysis
Charu C. Aggarwal
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Data Mining and Machine Learning : Fundamental Concepts and Algorithms
Mohammed J. (Rensselaer Polytechnic Institute, New York) Zaki
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Mining of Massive Datasets
Jure (Stanford University, California) Leskovec
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Mathematics for Machine Learning
Marc Peter (University College London) Deisenroth
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Foundations of Data Science
Avrim Blum
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Computational Topology for Data Analysis
Tamal Krishna (Purdue University, Indiana) Dey
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Inference and Learning from Data: Volume 2 : Inference
Ali H. (Ecole Polytechnique Federale de Lausanne) Sayed
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Natural Language Processing : A Machine Learning Perspective
Yue Zhang
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Automated Machine Learning : Methods, Systems, Challenges
Frank Hutter
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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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