Data Science

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Reproducible Research with R and RStudio

3rd Edition

Christopher Gandrud
February 13, 2020

Praise for previous editions:"Gandrud has written a great outline of how a fully reproducible research project should look from start to finish, with brief explanations of each tool that he uses along the way… Advanced undergraduate students in mathematics, statistics, and similar fields as well as...

Interactive Web-Based Data Visualization with R, plotly, and shiny

1st Edition

Carson Sievert
January 21, 2020

The richly illustrated Interactive Web-Based Data Visualization with R, plotly, and shiny focuses on the process of programming interactive web graphics for multidimensional data analysis. It is written for the data analyst who wants to leverage the capabilities of interactive web graphics without...

Basketball Data Science: With Applications in R

1st Edition

Paola Zuccolotto, Marica Manisera
January 14, 2020

Using data from one season of NBA games, Basketball Data Science: With Applications in R is the perfect book for anyone interested in learning and applying data analytics in basketball. Whether assessing the spatial performance of an NBA player’s shots or doing an analysis of the impact of...

Statistical Inference via Data Science: A ModernDive into R and the Tidyverse

1st Edition

Chester Ismay, Albert Y. Kim
December 13, 2019

Statistical Inference via Data Science: A ModernDive into R and the Tidyverse provides a pathway for learning about statistical inference using data science tools widely used in industry, academia, and government. It introduces the tidyverse suite of R packages, including the ggplot2 package for...

Statistical Programming in SAS

2nd Edition

A. John Bailer
December 09, 2019

Statistical Programming in SAS Second Edition provides a foundation for programming to implement statistical solutions using SAS, a system that has been used to solve data analytic problems for more than 40 years. The author includes motivating examples to inspire readers to generate programming...

Computer Intensive Methods in Statistics

1st Edition

Silvelyn Zwanzig, Behrang Mahjani
December 02, 2019

This textbook gives an overview of statistical methods that have been developed during the last years due to increasing computer use, including random number generators, Monte Carlo methods, Markov Chain Monte Carlo (MCMC) methods, Bootstrap, EM algorithms, SIMEX, variable selection, density...

Data Science and Machine Learning: Mathematical and Statistical Methods

1st Edition

Dirk P. Kroese, Zdravko Botev, Thomas Taimre, Radislav Vaisman
November 22, 2019

"This textbook is a well-rounded, rigorous, and informative work presenting the mathematics behind modern machine learning techniques. It hits all the right notes: the choice of topics is up-to-date and perfect for a course on data science for mathematics students at the advanced undergraduate or...

Cybersecurity Analytics

1st Edition

Rakesh M. Verma, David J. Marchette
November 20, 2019

Cybersecurity Analytics is for the cybersecurity student and professional who wants to learn data science techniques critical for tackling cybersecurity challenges, and for the data science student and professional who wants to learn about cybersecurity adaptations. Trying to build a malware...

Hands-On Machine Learning with R

1st Edition

Brad Boehmke, Brandon M. Greenwell
November 11, 2019

Hands-on Machine Learning with R provides a practical and applied approach to learning and developing intuition into today’s most popular machine learning methods. This book serves as a practitioner’s guide to the machine learning process and is meant to help the reader learn to apply...

Introduction to Data Science: Data Analysis and Prediction Algorithms with R

1st Edition

Rafael A. Irizarry
November 08, 2019

Introduction to Data Science: Data Analysis and Prediction Algorithms with R introduces concepts and skills that can help you tackle real-world data analysis challenges. It covers concepts from probability, statistical inference, linear regression, and machine learning. It also helps you develop...

Research Methods for Medical Graduates

1st Edition

Abhaya Indrayan
November 01, 2019

This book discusses the why and how of each step of data-based medical research that can provide basic information to emerging researchers and medical graduate students who write theses or publish articles. The chapters are arranged in the sequence of steps for data-based research. The research...

Handbook of Big Data

1st Edition

Peter Bühlmann, Petros Drineas, Michael Kane, Mark van der Laan
September 11, 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...