High-Dimensional Data Analysis with Low-Dimensional Models : Principles, Computation, and Applications
John (Columbia University, New York) Wright
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Machine Learning : A First Course for Engineers and Scientists
Andreas Lindholm
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Mathematics for Machine Learning
Marc Peter (University College London) Deisenroth
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Sentiment Analysis : Mining Opinions, Sentiments, and Emotions
Bing (University of Illinois, Chicago) Liu
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Probabilistic Numerics : Computation as Machine Learning
Philipp (Eberhard-Karls-Universitat Tubingen, Germany) Hennig
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Mathematical Aspects of Deep Learning
Philipp (Universitat Wien, Austria) Grohs
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Data Science, Analytics and Machine Learning with R
Luiz Paulo (Economics, Business Administration and Accounting Favero
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Mathematics of Quantum Computing : An Introduction
Wolfgang Scherer
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Model-Based Clustering and Classification for Data Science : With Applications in R
Charles Bouveyron
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Beyond the Worst-Case Analysis of Algorithms
Tim (Columbia University, New York) Roughgarden
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Neural Machine Translation
Philipp (The Johns Hopkins University) Koehn
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Deep Learning in Science
Pierre (University of California, Irvine) Baldi
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Inference and Learning from Data: Volume 2 : Inference
Ali H. (Ecole Polytechnique Federale de Lausanne) Sayed
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Machine Learning for Signal Processing : Data Science, Algorithms, and Computational Statistics
Prof Max A. (Professor of Mathematics, Aston University, Profe Little
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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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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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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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The Statistical Physics of Data Assimilation and Machine Learning
Henry D. I. (University of California, San Diego) Abarbanel
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