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A Computational Approach to Statistical Learning

1st Edition

Featured

Taylor Arnold, Michael Kane, Bryan W. Lewis
January 29, 2019

A Computational Approach to Statistical Learning gives a novel introduction to predictive modeling by focusing on the algorithmic and numeric motivations behind popular statistical methods. The text contains annotated code to over 80 original reference functions. These functions provide minimal work...

R For College Mathematics and Statistics

1st Edition

Thomas Pfaff
April 22, 2019

R for College Mathematics and Statistics encourages the use of R in mathematics and statistics courses. Instructors are no longer limited to ``nice'' functions in calculus classes. They can require reports and homework with graphs. They can do simulations and experiments. R can be useful for...

Deep Neural Networks: WASD Neuronet Models, Algorithms, and Applications

1st Edition

Yunong Zhang, Dechao Chen, Chengxu Ye
March 20, 2019

Toward Deep Neural Networks: WASD Neuronet Models, Algorithms, and Applications introduces the outlook and extension toward deep neural networks, with a focus on the weights-and-structure determination (WASD) algorithm. Based on the authors’ 20 years of research experience on neuronets, the book...

Smart Data: State-of-the-Art Perspectives in Computing and Applications

1st Edition

Kuan-Ching Li, Beniamino Di Martino, Laurence T. Yang, Qingchen Zhang
March 13, 2019

Smart Data: State-of-the-Art Perspectives in Computing and Applications explores smart data computing techniques to provide intelligent decision making and prediction services support for business, science, and engineering. It also examines the latest research trends in fields related to smart data...

Statistical Computing with R, Second Edition

2nd Edition

Maria L. Rizzo
March 06, 2019

Computational statistics and statistical computing are two areas that employ computational, graphical, and numerical approaches to solve statistical problems, making the versatile R language an ideal computing environment for these fields. This second edition continues to encompass the traditional...

Textual Data Science with R

1st Edition

Mónica Bécue-Bertaut
March 01, 2019

Textual Statistics with R comprehensively covers the main multidimensional methods in textual statistics supported by a specially-written package in R. Methods discussed include correspondence analysis, clustering, and multiple factor analysis for contigency tables. Each method is illuminated by...

Big Data: A Tutorial-Based Approach

1st Edition

Nasir Raheem
February 25, 2019

Big Data: A Tutorial-Based Approach explores the tools and techniques used to bring about the marriage of structured and unstructured data. It focuses on Hadoop Distributed Storage and MapReduce Processing by implementing (i) Tools and Techniques of Hadoop Eco System, (ii) Hadoop Distributed File...

Entrepreneurial Complexity: Methods and Applications

1st Edition

Matthias Dehmer, Frank Emmert-Streib, Herbert Jodlbauer
February 18, 2019

Entrepreneurial Complexity: Methods and Applications deals with theoretical and practical results of Entrepreneurial Sciences and Management (ESM), emphasising qualitative and quantitative methods. ESM has been a modern and exciting research field in which methods from various disciplines have been...

A Computational Approach to Statistical Learning

1st Edition

Taylor Arnold, Michael Kane, Bryan W. Lewis
January 29, 2019

A Computational Approach to Statistical Learning gives a novel introduction to predictive modeling by focusing on the algorithmic and numeric motivations behind popular statistical methods. The text contains annotated code to over 80 original reference functions. These functions provide minimal...

Data Science with Julia

1st Edition

Paul D. McNicholas, Peter Tait
January 11, 2019

"This book is a great way to both start learning data science through the promising Julia language and to become an efficient data scientist."- Professor Charles Bouveyron, INRIA Chair in Data Science, Université Côte d’Azur, Nice, France Julia, an open-source programming language, was created to...

Swarm Intelligence Methods for Statistical Regression

1st Edition

Soumya Mohanty
December 11, 2018

A core task in statistical analysis, especially in the era of Big Data, is the fitting of flexible, high-dimensional, and non-linear models to noisy data in order to capture meaningful patterns. This can often result in challenging non-linear and non-convex global optimization problems. The large...

Industrial Applications of Machine Learning

1st Edition

Pedro Larrañaga, David Atienza, Javier Diaz-Rozo, Alberto Ogbechie, Carlos Esteban Puerto-Santana, Concha Bielza
December 10, 2018

Industrial Applications of Machine Learning shows how machine learning can be applied to address real-world problems in the fourth industrial revolution, and provides the required knowledge and tools to empower readers to build their own solutions based on theory and practice. The book introduces...

Handbook of Graphical Models

1st Edition

Marloes Maathuis, Mathias Drton, Steffen Lauritzen, Martin Wainwright
November 27, 2018

A graphical model is a statistical model that is represented by a graph. The factorization properties underlying graphical models facilitate tractable computation with multivariate distributions, making the models a valuable tool with a plethora of applications. Furthermore, directed...

Conferences

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