Real world ai ethics for data scientists, Goltz, Nachshon (sean) Dowdeswell, Tracey
Автор: Ross, Sheldon M. Название: Introduction To Probability And Statistics For Engineers And Scientists ISBN: 0128243465 ISBN-13(EAN): 9780128243466 Издательство: Elsevier Science Рейтинг: Цена: 110030.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Letter Jam is a 2-6 player cooperative word game where players assist each other in composing meaningful words from letters around the table. The trick is holding the letter card so that it`s only visible to other players and not to you.At the start of the game, each player receives a set of face-down letter cards that can be arranged to form an existing word. The setup can be prepared by using a special card scanning app, or by players selecting words for each other. Each player then puts their first card in their stand facing the other players without looking at it, and the game begins.The game is played in turns. Each turn, players simultaneously search other players` letters to see what words they can spell out (telling the others the length of the word they can make up). The player who offers the longest word can then be chosen as the clue giver.The clue giver spells out their clue by putting numbered tokens in front of the other players. Number one goes to the player whose letter comes first in the clue, number two to the second letter etc. They can always use a wild card which can be any letter, but they cannot tell others which letter it represents.Each player with a numbered token (or tokens) in front of them then tries to figure out what their letter is. If they do, they place the card face down before revealing the next letter. At the end of the game, players can then rearrange the cards to try to form an existing word. All players then reveal their cards to see if they were successful or not. The more players who have an existing word in front of them, the bigger their common success.
Автор: Israel Mark Название: Research Ethics and Integrity for Social Scientists ISBN: 1446207498 ISBN-13(EAN): 9781446207499 Издательство: Sage Publications Рейтинг: Цена: 50680.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book explores recent developments and debates around researching ethically and with integrity, and complying with ethical requirements, and has been updated and expanded to now cover issues relating to international, indigenous, interdisciplinary and internet research.
Автор: Blasco, Agustin Название: Bayesian data analysis for animal scientists ISBN: 3319542737 ISBN-13(EAN): 9783319542737 Издательство: Springer Рейтинг: Цена: 93160.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: In this book, we provide an easy introduction to Bayesian inference using MCMC techniques, making most topics intuitively reasonable and deriving to appendixes the more complicated matters.
Автор: King, Andrew Название: Statistics for Biomedical Engineers and Scientists ISBN: 008102939X ISBN-13(EAN): 9780081029398 Издательство: Elsevier Science Рейтинг: Цена: 65070.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
Statistics for Biomedical Engineers and Scientists: How to Analyze and Visualize Data provides an intuitive understanding of the concepts of basic statistics, with a focus on solving biomedical problems. Readers will learn how to understand the fundamental concepts of descriptive and inferential statistics, analyze data and choose an appropriate hypothesis test to answer a given question, compute numerical statistical measures and perform hypothesis tests 'by hand', and visualize data and perform statistical analysis using MATLAB. Practical activities and exercises are provided, making this an ideal resource for students in biomedical engineering and the biomedical sciences who are in a course on basic statistics.
Presents a practical guide on how to visualize and analyze statistical data
Provides numerous practical examples and exercises to illustrate the power of statistics in biomedical engineering applications
Gives an intuitive understanding of statistical tests
Covers practical skills by showing how to perform operations 'by hand' and by using MATLAB as a computational tool
Includes an online resource with downloadable materials for students and teachers
Автор: Agresti, Alan, Название: Foundations of statistics for data scientists : ISBN: 0367748452 ISBN-13(EAN): 9780367748456 Издательство: Taylor&Francis Рейтинг: Цена: 91860.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book shows the elements of statistical science that are highly relevant for students who plan to become data scientists. However, most of the content focuses on the statistical methods and the theory behind them, rather than on data science.
Автор: Greer Sandra C. Название: Elements of Ethics for Physical Scientists ISBN: 0262036886 ISBN-13(EAN): 9780262036887 Издательство: MIT Press Рейтинг: Цена: 45150.00 T Наличие на складе: Нет в наличии. Описание:
A guide to the everyday decisions about right and wrong faced by physical scientists and research engineers.
This book offers the first comprehensive guide to ethics for physical scientists and engineers who conduct research. Written by a distinguished professor of chemistry and chemical engineering, the book focuses on the everyday decisions about right and wrong faced by scientists as they do research, interact with other people, and work within society. The goal is to nurture readers' ethical intelligence so that they know an ethical issue when they see one, and to give them a way to think about ethical problems.
After introductions to the philosophy of ethics and the philosophy of science, the book discusses research integrity, with a unique emphasis on how scientists make mistakes and how they can avoid them. It goes on to cover personal interactions among scientists, including authorship, collaborators, predecessors, reviewers, grantees, mentors, and whistle-blowers. It considers underrepresented groups in science as an ethical issue that matters not only to those groups but also to the development of science, and it examines human participants and animal subjects. Finally, the book examines scientifically relevant social issues, including public policy, weapons research, conflicts of interest, and intellectual property.
Each chapter ends with discussion questions and case studies to encourage debate and further exploration of topics. The book can be used in classes and seminars in research ethics and will be an essential reference for scientists in academia, government, and industry.
Автор: Chesterman Simon Название: We, the Robots?: Regulating Artificial Intelligence and the Limits of the Law ISBN: 1316517683 ISBN-13(EAN): 9781316517680 Издательство: Cambridge Academ Рейтинг: Цена: 38010.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Should we regulate artificial intelligence? Can we? From self-driving cars and high-speed trading to algorithmic decision-making, the way we live, work, and play is increasingly dependent on AI systems. This book examines how our laws are dealing with AI, as well as what additional rules and institutions are needed.
Автор: Brandt Siegmund Название: Data Analysis ISBN: 3319037617 ISBN-13(EAN): 9783319037615 Издательство: Springer Рейтинг: Цена: 65210.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book presents a comprehensive introduction to statistical and numerical methods for the evaluation of empirical and experimental data. It includes example programs and solutions to programming problems written in Java.
Автор: Hibbert, D.brynn Gooding, J. Justn Название: Data analysis for chemistry ISBN: 0195162110 ISBN-13(EAN): 9780195162110 Издательство: Oxford Academ Рейтинг: Цена: 27970.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Providing information on chemical data analysis, this book aims to make data analysis simple by demystifying the language and whenever possible giving unambiguous ways of doing things. It covers topics such as measurements, means and confidence intervals, hypothesis testing, analysis of variance, and calibration models.
Автор: Glen Gowan; Siegmund Brandt Название: Data Analysis ISBN: 1461271479 ISBN-13(EAN): 9781461271475 Издательство: Springer Рейтинг: Цена: 74010.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Bridging the gap between statistical theory and physical experiment, this is a thorough introduction to the statistical methods used in the experimental physical sciences and to the numerical methods used to implement them.
Автор: Siegmund Brandt Название: Data Analysis ISBN: 3319347799 ISBN-13(EAN): 9783319347790 Издательство: Springer Рейтинг: Цена: 65290.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book presents a comprehensive introduction to statistical and numerical methods for the evaluation of empirical and experimental data. It includes example programs and solutions to programming problems written in Java.
Автор: Beiji Zou; Min Li; Hongzhi Wang; Xianhua Song; Wei Название: Data Science ISBN: 9811063842 ISBN-13(EAN): 9789811063848 Издательство: Springer Рейтинг: Цена: 102480.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This two volume set (CCIS 727 and 728) constitutes the refereed proceedings of the Third International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2017 (originally ICYCSEE) held in Changsha, China, in September 2017.
The 112 revised full papers presented in these two volumes were carefully reviewed and selected from 987 submissions. The papers cover a wide range of topics related to Basic Theory and Techniques for Data Science including Mathematical Issues in Data Science, Computational Theory for Data Science, Big Data Management and Applications, Data Quality and Data Preparation, Evaluation and Measurement in Data Science, Data Visualization, Big Data Mining and Knowledge Management, Infrastructure for Data Science, Machine Learning for Data Science, Data Security and Privacy, Applications of Data Science, Case Study of Data Science, Multimedia Data Management and Analysis, Data-driven Scientific Research, Data-driven Bioinformatics, D
ata-driven Healthcare, Data-driven Management, Data-driven eGovernment, Data-driven Smart City/Planet, Data Marketing and Economics, Social Media and Recommendation Systems, Data-driven Security, Data-driven Business Model Innovation, Social and/or organizational impacts of Data Science.
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