Statistics in the Public Interest

• Hardcover | Engels | Springer the Data Sciences
• This edited volume surveys a variety of topics in statistics and the social sciences in memory of the late Stephen Fienberg. The book collects submiss... Lees meer

Multivariate Data Analysis on Matrix Manifolds

Nickolay Trendafilov, Michele Gallo

• Paperback | Engels | Springer the Data Sciences
• This graduate-level textbook aims to give a unified presentation and solution of several commonly used techniques for multivariate data analysis (MDA)... Lees meer

Deep Learning Architectures

Ovidiu Calin

• Hardcover | Engels | Springer the Data Sciences
• This book describes how neural networks operate from the mathematical point of view. As a result, neural networks can be interpreted both as function ... Lees meer

Statistical Inference and Machine Learning for Big Data

Mayer Alvo

• Hardcover | Engels | Springer the Data Sciences
• This book presents a variety of advanced statistical methods at a level suitable for advanced undergraduate and graduate students as well as for other... Lees meer

Deep Learning Architectures

Ovidiu Calin

• Paperback | Engels | Springer the Data Sciences
• This book describes how neural networks operate from the mathematical point of view. As a result, neural networks can be interpreted both as function ... Lees meer

Mathematical Foundations for Data Analysis

Jeff M Phillips

• Hardcover | Engels | Springer the Data Sciences
• This textbook, suitable for an early undergraduate up to a graduate course, provides an overview of many basic principles and techniques needed for mo... Lees meer

First-Order and Stochastic Optimization Methods for Machine Learning

Guanghui Lan

• Hardcover | Engels | Springer the Data Sciences
• This book covers not only foundational materials but also the most recent progresses made during the past few years on the area of machine learning al... Lees meer

Data Science for Public Policy

Jeffrey C Chen, Edward A Rubin, Gary J Cornwall

• Hardcover | Engels | Springer the Data Sciences
• This textbook presents the essential tools and core concepts of data science to public officials, policy analysts, and economists among others in orde... Lees meer

Statistical Inference and Machine Learning for Big Data

Mayer Alvo

• Paperback | Engels | Springer the Data Sciences
• This book presents a variety of advanced statistical methods at a level suitable for advanced undergraduate and graduate students as well as for other... Lees meer

Lectures on the Nearest Neighbor Method

Gérard Biau, Luc Devroye

• Hardcover | Engels | Springer the Data Sciences
• This text presents a wide-ranging and rigorous overview of nearest neighbor methods, one of the most important paradigms in machine learning. Now in o... Lees meer

Statistics with Julia

Yoni Nazarathy, Hayden Klok

• Hardcover | Engels | Springer the Data Sciences
• This monograph uses the Julia language to guide the reader through an exploration of the fundamental concepts of probability and statistics, all with ... Lees meer

A Parametric Approach to Nonparametric Statistics

Mayer Alvo, Philip L H Yu

• Paperback | Engels | Springer the Data Sciences
• This book demonstrates that nonparametric statistics can be taught from a parametric point of view. As a result, one can exploit various parametric to... Lees meer

Cohesive Subgraph Computation Over Large Sparse Graphs

Lijun Chang, Lu Qin

• Hardcover | Engels | Springer the Data Sciences
• This book is considered the first extended survey on algorithms and techniques for efficient cohesive subgraph computation. With rapid development of ... Lees meer

Multivariate Data Analysis on Matrix Manifolds

Nickolay Trendafilov, Michele Gallo

• Hardcover | Engels | Springer the Data Sciences
• This graduate-level textbook aims to give a unified presentation and solution of several commonly used techniques for multivariate data analysis (MDA)... Lees meer

Lectures on the Nearest Neighbor Method

Gérard Biau, Luc Devroye

• Paperback | Engels | Springer the Data Sciences
• This text presents a wide-ranging and rigorous overview of nearest neighbor methods, one of the most important paradigms in machine learning. Now in o... Lees meer

Data Science for Public Policy

Jeffrey C Chen, Edward A Rubin, Gary J Cornwall

• Paperback | Engels | Springer the Data Sciences
• This textbook presents the essential tools and core concepts of data science to public officials, policy analysts, and economists among others in orde... Lees meer

Statistics in the Public Interest

• Paperback | Engels | Springer the Data Sciences
• This edited volume surveys a variety of topics in statistics and the social sciences in memory of the late Stephen Fienberg. The book collects submiss... Lees meer

Mathematical Foundations for Data Analysis

Jeff M Phillips

• Paperback | Engels | Springer the Data Sciences
• This textbook, suitable for an early undergraduate up to a graduate course, provides an overview of many basic principles and techniques needed for mo... Lees meer

A Parametric Approach to Nonparametric Statistics

Mayer Alvo, Philip L H Yu

• Hardcover | Engels | Springer the Data Sciences
• This book demonstrates that nonparametric statistics can be taught from a parametric point of view. As a result, one can exploit various parametric to... Lees meer

First-Order and Stochastic Optimization Methods for Machine Learning

Guanghui Lan

• Paperback | Engels | Springer the Data Sciences
• This book covers not only foundational materials but also the most recent progresses made during the past few years on the area of machine learning al... Lees meer

Statistics with Julia

Yoni Nazarathy, Hayden Klok

• Paperback | Engels | Springer the Data Sciences
• This monograph uses the Julia language to guide the reader through an exploration of the fundamental concepts of probability and statistics, all with ... Lees meer