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Lectures on the Nearest Neighbor Method

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A Parametric Approach to Nonparametric Statistics

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80,84 € 115,48 €

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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

Gérard Biau, Luc Devroye

166,00 € 237,14 €

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-30%

A Parametric Approach to Nonparametric Statistics

Philip L. H. Yu, Mayer Alvo

57,74 € 82,48 €

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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

Jeff M. Phillips

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First-order and Stochastic Optimization Methods for Machine Learning

Guanghui Lan

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Statistics with Julia: Fundamentals for Data Science, Machine Learning and Artificial Intelligence

Hayden Klok, Yoni Nazarathy

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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

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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

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-30%

Statistics with Julia: Fundamentals for Data Science, Machine Learning and Artificial Intelligence

Hayden Klok, Yoni Nazarathy

213,43 € 304,90 €

-30% ar kodu BOOKS

Piegādātāja noliktavā

-30%

Multivariate Data Analysis on Matrix Manifolds: (with Manopt)

Nickolay Trendafilov, Michele Gallo

57,74 € 82,48 €

-30% ar kodu BOOKS

Piegādātāja noliktavā

-30%

Statistics in the Public Interest: In Memory of Stephen E. Fienberg

154,14 € 220,20 €

-30% ar kodu BOOKS

Piegādātāja noliktavā

Springer Series in the Data Sciences grāmatas

Lectures on the Nearest Neighbor Method

A Parametric Approach to Nonparametric Statistics

Cohesive Subgraph Computation over Large Sparse Graphs: Algorithms, Data Structures, and Programming Techniques

Lectures on the Nearest Neighbor Method

A Parametric Approach to Nonparametric Statistics

First-order and Stochastic Optimization Methods for Machine Learning

Deep Learning Architectures: A Mathematical Approach

Mathematical Foundations for Data Analysis

First-order and Stochastic Optimization Methods for Machine Learning

Statistics with Julia: Fundamentals for Data Science, Machine Learning and Artificial Intelligence

Multivariate Data Analysis on Matrix Manifolds: (with Manopt)

Data Science for Public Policy

Statistics in the Public Interest: In Memory of Stephen E. Fienberg

Data Science for Public Policy

Statistics with Julia: Fundamentals for Data Science, Machine Learning and Artificial Intelligence

Multivariate Data Analysis on Matrix Manifolds: (with Manopt)

Statistics in the Public Interest: In Memory of Stephen E. Fienberg

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