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Data Science Ethics: Concepts, Techniques, and Cautionary Tales

, techniques to remove discrimination against sensitive groups, and various explainable AI techniques. Real-life cautionary tales further;

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Data Science Ethics: Concepts, Techniques, and Cautionary Tales

, techniques to remove discrimination against sensitive groups, and various explainable AI techniques. Real-life cautionary tales further;

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97 Things about Ethics Everyone in Data Science Should Know Collective Wisdom from the Experts

About AI Bias-Cassie Kozyrkov Cautionary Ethics Tales-Sherrill Hayes Fairness in the Age of Algorithms-Anna Jacobson The Ethical Data;

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Java for Data Science

Examine the techniques and Java tools supporting the growing field of data science About This Book * Your entry ticket to the world of data;

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The Cautionary Fables and Fairy Tales Box Set. Kate Ashwin, Paperback

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Cautionary Tales . CHRISTOPHER REES, CD

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Cautionary Tales . Balestrazzi, Simon, CD

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Handbook of Research on Applied Data Science and Artificial Intelligence in Business and Industry, VOL 2

"This book provides an overview of the concepts, tools and techniques behind the increasing field of Data Science and Artificial;

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Advances in Econometrics, Operational Research, Data Science and Actuarial Studies

This volume presents techniques and theories drawn from mathematics, statistics, computer science, and information science to analyze;

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Nature Inspired Computing for Data Science

optimization techniques. Focusing on various data science problems, including classification, clustering, forecasting, and deep learning, it explores;

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Key Concepts and Techniques in GIS

detailed descriptions of the concepts and techniques that anyone using GIS software must fully understand to analyse spatial data. Short and;

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Key Concepts and Techniques in GIS

detailed descriptions of the concepts and techniques that anyone using GIS software must fully understand to analyse spatial data. Short and;

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Practical Data Science with Python

overview of basic Python skills and then introduces foundational data science techniques, followed by a thorough explanation of the Python code;

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Introduction to Data Science

field of data science. The coverage spans key concepts adopted from statistics and machine learning, useful techniques for graph analysis and;

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Data Science

, techniques and algorithms. * Part II: Data Design and Analysis This part comprises five chapters on data design and analysis. * Part III;

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Architecture, Anyone? Cautionary Tales of the Building Art

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Data Science Concepts and Techniques with Applications

of applications and widely used techniques in data science. The second part, which has been updated and considerably extended compared to the first;

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Think Like a Data Scientist

Data science is more than just a set of tools and techniques for extracting knowledge from data sets and data streams. Data science is also;

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Science and Ethics

for the practice of science itself in terms of fraud, plagiarism, and data falsification. In engaging prose and with philosophical;

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R Data Science Essentials

* Perform data preprocessing and basic operations on data * Implement visual and non-visual implementation data exploration techniques * Mine;

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Research Methods for Graduate Business and Social Science Students

reading - How to plan and implement a research project - Data collection, survey research and data management - Practical research techniques;

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Data Mining Concepts & Techniques

Data Mining: Concepts and Techniques provides the concepts and techniques in processing gathered data or information, which will be;

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Recent Advances on Soft Computing and Data Mining

This book provides an introduction to data science and offers a practical overview of the concepts and techniques that readers need to get;

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Don'T Tell Lies, Lucy!

amusing cautionary tales that warn of the perils of behaving badly. A cautionary tale for children everywhere to warn of the perils of behaving;

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Data Science and Productivity Analytics

recognition, and data visualisation, among others. Examples of data science techniques include linear and logistic regressions, decision trees;

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Machine Learning for Biometrics

feature extraction techniques, and classifiers those are commonly used data science techniques. These biometrics techniques can be used as tools;

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Secure Data Science: Integrating Cyber Security and Data Science

intrusion detection, malware analysis, and insider threat detection. However, the data science techniques being applied not only for cyber security;

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