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Feature Engineering and Selection: A Practical Approach for Predictive Models

1st Edition

Featured

Max Kuhn, Kjell Johnson
August 2, 2019

The process of developing predictive models includes many stages. Most resources focus on the modeling algorithms but neglect other critical aspects of the modeling process. This book describes techniques for finding the best representations of predictors for modeling and for nding the best subset o...

Handbook of Big Data

1st Edition

Peter Bühlmann, Petros Drineas, Michael Kane, Mark van der Laan
September 27, 2019

Handbook of Big Data provides a state-of-the-art overview of the analysis of large-scale datasets. Featuring contributions from well-known experts in statistics and computer science, this handbook presents a carefully curated collection of techniques from both industry and academia. Thus, the text...

A Concise Introduction to Machine Learning

1st Edition

A.C. Faul
August 12, 2019

The emphasis of the book is on the question of Why – only if why an algorithm is successful is understood, can it be properly applied, and the results trusted. Algorithms are often taught side by side without showing the similarities and differences between them. This book addresses the...

Feature Engineering and Selection: A Practical Approach for Predictive Models

1st Edition

Max Kuhn, Kjell Johnson
August 02, 2019

The process of developing predictive models includes many stages. Most resources focus on the modeling algorithms but neglect other critical aspects of the modeling process. This book describes techniques for finding the best representations of predictors for modeling and for nding the best subset...

Probability and Statistics for Data Science: Math + R + Data

1st Edition

Norman Matloff
June 20, 2019

Probability and Statistics for Data Science: Math + R + Data covers "math stat"—distributions, expected value, estimation etc.—but takes the phrase "Data Science" in the title quite seriously: * Real datasets are used extensively. * All data analysis is supported by R coding. * Includes...

Data Science for Wind Energy

1st Edition

Yu Ding
May 24, 2019

Data Science for Wind Energy provides an in-depth discussion on how data science methods can improve decision making for wind energy applications, near-ground wind field analysis and forecast, turbine power curve fitting and performance analysis, turbine reliability assessment, and maintenance...

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

Praise for the First Edition: ". . . the book serves as an excellent tutorial on the R language, providing examples that illustrate programming concepts in the context of practical computational problems. The book will be of great interest for all specialists working on computational statistics and...

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...

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