Share

97 Things About Ethics Everyone in Data Science Should Know

2020-08-06 Computers
Download 97 Things About Ethics Everyone in Data Science Should Know PDF Online Free

Author :
Release : 2020-08-06
Genre : Computers
Kind : eBook
Book Rating : 63X/5 ( reviews)

GET EBOOK


Book Synopsis 97 Things About Ethics Everyone in Data Science Should Know by : Bill Franks

Download or read book 97 Things About Ethics Everyone in Data Science Should Know written by Bill Franks. This book was released on 2020-08-06. Available in PDF, EPUB and Kindle. Book excerpt: Most of the high-profile cases of real or perceived unethical activity in data science aren’t matters of bad intent. Rather, they occur because the ethics simply aren’t thought through well enough. Being ethical takes constant diligence, and in many situations identifying the right choice can be difficult. In this in-depth book, contributors from top companies in technology, finance, and other industries share experiences and lessons learned from collecting, managing, and analyzing data ethically. Data science professionals, managers, and tech leaders will gain a better understanding of ethics through powerful, real-world best practices. Articles include: Ethics Is Not a Binary Concept—Tim Wilson How to Approach Ethical Transparency—Rado Kotorov Unbiased ≠ Fair—Doug Hague Rules and Rationality—Christof Wolf Brenner The Truth About AI Bias—Cassie Kozyrkov Cautionary Ethics Tales—Sherrill Hayes Fairness in the Age of Algorithms—Anna Jacobson The Ethical Data Storyteller—Brent Dykes Introducing Ethicize™, the Fully AI-Driven Cloud-Based Ethics Solution!—Brian O’Neill Be Careful with "Decisions of the Heart"—Hugh Watson Understanding Passive Versus Proactive Ethics—Bill Schmarzo

97 Things about Ethics Everyone in Data Should Know

2020-08-31 Computers
Download 97 Things about Ethics Everyone in Data Should Know PDF Online Free

Author :
Release : 2020-08-31
Genre : Computers
Kind : eBook
Book Rating : 669/5 ( reviews)

GET EBOOK


Book Synopsis 97 Things about Ethics Everyone in Data Should Know by : Bill Franks

Download or read book 97 Things about Ethics Everyone in Data Should Know written by Bill Franks. This book was released on 2020-08-31. Available in PDF, EPUB and Kindle. Book excerpt: With this in-depth book, data professionals, managers, and tech leaders will learn powerful, real-world best practices and get a better understanding for data ethics. Contributors from top companies in technology, finance, and other industries share their experiences and lessons learned on bias, privacy, security, and data governance--the things you need to know for ethically collecting, managing, and using data.

Data Science Ethics

2022-03-24 MATHEMATICS
Download Data Science Ethics PDF Online Free

Author :
Release : 2022-03-24
Genre : MATHEMATICS
Kind : eBook
Book Rating : 260/5 ( reviews)

GET EBOOK


Book Synopsis Data Science Ethics by : David Martens

Download or read book Data Science Ethics written by David Martens. This book was released on 2022-03-24. Available in PDF, EPUB and Kindle. Book excerpt: Data science ethics is all about what is right and wrong when conducting data science. Data science has so far been primarily used for positive outcomes for businesses and society. However, just as with any technology, data science has also come with some negative consequences: an increase of privacy invasion, data-driven discrimination against sensitive groups, and decision making by complex models without explanations. While data scientists and business managers are not inherently unethical, they are not trained to weigh the ethical considerations that come from their work - Data Science Ethics addresses this increasingly significant gap and highlights different concepts and techniques that aid understanding, ranging from k-anonymity and differential privacy to homomorphic encryption and zero-knowledge proofs to address privacy concerns, techniques to remove discrimination against sensitive groups, and various explainable AI techniques. Real-life cautionary tales further illustrate the importance and potential impact of data science ethics, including tales of racist bots, search censoring, government backdoors, and face recognition. The book is punctuated with structured exercises that provide hypothetical scenarios and ethical dilemmas for reflection that teach readers how to balance the ethical concerns and the utility of data.

97 Things Every Data Engineer Should Know

2021-06-11 Computers
Download 97 Things Every Data Engineer Should Know PDF Online Free

Author :
Release : 2021-06-11
Genre : Computers
Kind : eBook
Book Rating : 367/5 ( reviews)

GET EBOOK


Book Synopsis 97 Things Every Data Engineer Should Know by : Tobias Macey

Download or read book 97 Things Every Data Engineer Should Know written by Tobias Macey. This book was released on 2021-06-11. Available in PDF, EPUB and Kindle. Book excerpt: Take advantage of today's sky-high demand for data engineers. With this in-depth book, current and aspiring engineers will learn powerful real-world best practices for managing data big and small. Contributors from notable companies including Twitter, Google, Stitch Fix, Microsoft, Capital One, and LinkedIn share their experiences and lessons learned for overcoming a variety of specific and often nagging challenges. Edited by Tobias Macey, host of the popular Data Engineering Podcast, this book presents 97 concise and useful tips for cleaning, prepping, wrangling, storing, processing, and ingesting data. Data engineers, data architects, data team managers, data scientists, machine learning engineers, and software engineers will greatly benefit from the wisdom and experience of their peers. Topics include: The Importance of Data Lineage - Julien Le Dem Data Security for Data Engineers - Katharine Jarmul The Two Types of Data Engineering and Data Engineers - Jesse Anderson Six Dimensions for Picking an Analytical Data Warehouse - Gleb Mezhanskiy The End of ETL as We Know It - Paul Singman Building a Career as a Data Engineer - Vijay Kiran Modern Metadata for the Modern Data Stack - Prukalpa Sankar Your Data Tests Failed! Now What? - Sam Bail

97 Things Every Data Engineer Should Know

2021-06-11 Computers
Download 97 Things Every Data Engineer Should Know PDF Online Free

Author :
Release : 2021-06-11
Genre : Computers
Kind : eBook
Book Rating : 383/5 ( reviews)

GET EBOOK


Book Synopsis 97 Things Every Data Engineer Should Know by : Tobias Macey

Download or read book 97 Things Every Data Engineer Should Know written by Tobias Macey. This book was released on 2021-06-11. Available in PDF, EPUB and Kindle. Book excerpt: Take advantage of today's sky-high demand for data engineers. With this in-depth book, current and aspiring engineers will learn powerful real-world best practices for managing data big and small. Contributors from notable companies including Twitter, Google, Stitch Fix, Microsoft, Capital One, and LinkedIn share their experiences and lessons learned for overcoming a variety of specific and often nagging challenges. Edited by Tobias Macey, host of the popular Data Engineering Podcast, this book presents 97 concise and useful tips for cleaning, prepping, wrangling, storing, processing, and ingesting data. Data engineers, data architects, data team managers, data scientists, machine learning engineers, and software engineers will greatly benefit from the wisdom and experience of their peers. Topics include: The Importance of Data Lineage - Julien Le Dem Data Security for Data Engineers - Katharine Jarmul The Two Types of Data Engineering and Data Engineers - Jesse Anderson Six Dimensions for Picking an Analytical Data Warehouse - Gleb Mezhanskiy The End of ETL as We Know It - Paul Singman Building a Career as a Data Engineer - Vijay Kiran Modern Metadata for the Modern Data Stack - Prukalpa Sankar Your Data Tests Failed! Now What? - Sam Bail

You may also like...