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Hidden in White Sight How AI Empowers and Deepens Systemic Racism

Hidden in White Sight How AI Empowers and Deepens Systemic Racism

Artificial Intelligence was meant to be the great social equalizer that helps promote fairness by removing human bias from the equation but is this true? Given that the policing and judicial systems can display human bias this book explores how the technology they use can also reflect these prejudices. From healthcare services to social scoring in exams to applying for and getting loans AI outcomes often restrict those most in need of these services. Through personal stories from an esteemed Black Data Scientist and AI expert this book attempts to demystify the algorithmic black box. AI pervades all aspects of modern society and affects everyone within it yet its internal biases are rarely confronted. This book advises readers on what they can do to fight against it including the introduction of a proposed AI Bill of Rights whilst also providing specific recommendations for AI developers and technologists. https://hiddeninwhitesight. com/ | Hidden in White Sight How AI Empowers and Deepens Systemic Racism

GBP 22.99
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Practical Guide to Logistic Regression

Practical Guide to Logistic Regression

Practical Guide to Logistic Regression covers the key points of the basic logistic regression model and illustrates how to use it properly to model a binary response variable. This powerful methodology can be used to analyze data from various fields including medical and health outcomes research business analytics and data science ecology fisheries astronomy transportation insurance economics recreation and sports. By harnessing the capabilities of the logistic model analysts can better understand their data make appropriate predictions and classifications and determine the odds of one value of a predictor compared to another. Drawing on his many years of teaching logistic regression using logistic-based models in research and writing about the subject Professor Hilbe focuses on the most important features of the logistic model. Serving as a guide between the author and readers the book explains how to construct a logistic model interpret coefficients and odds ratios predict probabilities and their standard errors based on the model and evaluate the model as to its fit. Using a variety of real data examples mostly from health outcomes the author offers a basic step-by-step guide to developing and interpreting observation and grouped logistic models as well as penalized and exact logistic regression. He also gives a step-by-step guide to modeling Bayesian logistic regression. R statistical software is used throughout the book to display the statistical models while SAS and Stata codes for all examples are included at the end of each chapter. The example code can be adapted to readers own analyses. All the code is available on the author‘s website.

GBP 175.00
1

Displaying Time Series Spatial and Space-Time Data with R

Displaying Time Series Spatial and Space-Time Data with R

Focusing on the exploration of data with visual methods Displaying Time Series Spatial and Space-Time Data with R Second Edition presents methods and R code for producing high-quality static graphics interactive visualizations and animations of time series spatial and space-time data. Practical examples using real-world datasets help you understand how to apply the methods and code. The book illustrates how to display a dataset starting with an easy and direct approach and progressively adds improvements that involve more complexity. Each of the three parts of the book is devoted to different types of data. In each part the chapters are grouped according to the various visualization methods or data characteristics. The first edition of this book was mainly focused on static graphics. Four years later recent developments in the htmlwidgets family of packages are covered in this second edition with many new interactive graphics. In addition the ggplot2 approach is now used in most of the spatial graphics thanks to the new sf package. Finally code has been cleaned and improved and data has been updated. Features• Offers detailed information on producing high-quality graphics interactive visualizations and animations• Uses real data from meteorological climate economic social science energy engineering environmental and epidemiological research in many practical examples• Shows how to improve graphics based on visualization theory• Provides the graphics data and R code on the author’s website enabling you to practice with the methods and modify the code to suit your own needs.

GBP 69.99
1