Linear Algebra for Data Science, Machine Learning, and Signal Processing
Jeffrey A. (University of Michigan, Ann Arbor) Fessler
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An Invitation to Combinatorics
Shahriar (Pomona College, California) Shahriari
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Machine Learning
Zhi-Hua, PhD Zhou
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An Introduction to Machine Learning
Miroslav Kubat
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Basic Elements of Computational Statistics
Wolfgang Karl Hardle
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An Introduction to Modern Mathematical Computing : With Mathematica (R)
Jonathan M. Borwein
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Mathematics in Computing : An Accessible Guide to Historical, Foundational and Application Contexts
Gerard O'Regan
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Mastering the Discrete Fourier Transform in One, Two or Several Dimensions : Pitfalls and Artifacts
Isaac Amidror
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The Christoffel-Darboux Kernel for Data Analysis
Jean Bernard Lasserre
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Essential Linear Algebra with Applications : A Problem-Solving Approach
Titu Andreescu
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Networks in Distributed Computing
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Multivariate Data Analysis on Matrix Manifolds : (with Manopt)
Nickolay Trendafilov
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Computer Algebra : An Algorithm-Oriented Introduction
Wolfram Koepf
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Graph Data Management : Fundamental Issues and Recent Developments
George Fletcher
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Introduction to the Tools of Scientific Computing
Einar Smith
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Introduction to Computation in Physical Sciences : Interactive Computing and Visualization with Python™
Jay Wang
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Semantics of Probabilistic Processes : An Operational Approach
Yuxin Deng
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Computational Diffusion MRI : International MICCAI Workshop, Granada, Spain, September 2018
Elisenda Bonet-Carne
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Broad Learning Through Fusions : An Application on Social Networks
Jiawei Zhang
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