Books by Springer Series in the Data Sciences
Lectures on the Nearest Neighbor Method
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A Parametric Approach to Nonparametric Statistics
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Cohesive Subgraph Computation over Large Sparse Graphs: Algorithms, Data Structures, and Programming Techniques
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Lectures on the Nearest Neighbor Method
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A Parametric Approach to Nonparametric Statistics
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First-order and Stochastic Optimization Methods for Machine Learning
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Deep Learning Architectures: A Mathematical Approach
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Mathematical Foundations for Data Analysis
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First-order and Stochastic Optimization Methods for Machine Learning
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Statistics with Julia: Fundamentals for Data Science, Machine Learning and Artificial Intelligence
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Multivariate Data Analysis on Matrix Manifolds: (with Manopt)
Nickolay Trendafilov, Michele Gallo
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Data Science for Public Policy
Jeffrey C. Chen, Gary J. Cornwall, Edward A. Rubin
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Statistics in the Public Interest: In Memory of Stephen E. Fienberg
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Data Science for Public Policy
Jeffrey C. Chen, Gary J. Cornwall, Edward A. Rubin
-20% with code BOOKS
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Statistics with Julia: Fundamentals for Data Science, Machine Learning and Artificial Intelligence
-20% with code BOOKS
In stock at our supplier
Multivariate Data Analysis on Matrix Manifolds: (with Manopt)
Nickolay Trendafilov, Michele Gallo
-20% with code BOOKS
In stock at our supplier
Statistics in the Public Interest: In Memory of Stephen E. Fienberg
-20% with code BOOKS
In stock at our supplier