Ethics and Data Science

Name: Ethics and Data Science
Rating: 4.5 (4 reviews)

Mike Loukides · Hilary Mason · DJ Patil

२०१८ जुलाई · "O'Reilly Media, Inc."

४.५

४ समीक्षाहरू

इ-पुस्तक

पृष्ठहरू

योग्य

रेटिङ र रिभ्यूहरूको पुष्टि गरिएको हुँदैन थप जान्नुहोस्

यो इ-पुस्तकका बारेमा

As the impact of data science continues to grow on society there is an increased need to discuss how data is appropriately used and how to address misuse. Yet, ethical principles for working with data have been available for decades. The real issue today is how to put those principles into action. With this report, authors Mike Loukides, Hilary Mason, and DJ Patil examine practical ways for making ethical data standards part of your work every day.

To help you consider all of possible ramifications of your work on data projects, this report includes:

A sample checklist that you can adapt for your own procedures
Five framing guidelines (the Five C’s) for building data products: consent, clarity, consistency, control, and consequences
Suggestions for building ethics into your data-driven culture

Now is the time to invest in a deliberate practice of data ethics, for better products, better teams, and better outcomes. Get a copy of this report and learn what it takes to do good data science today.

मूल्याङ्कन र समीक्षाहरू

४.५

४ समीक्षाहरू

लेखकको बारेमा

Mike Loukides is Vice President of Content Strategy for O'Reilly Media, Inc. He's edited many highly regarded books on technical subjects that don't involve Windows programming. He's particularly interested in programming languages, Unix and what passes for Unix these days, and system and network administration. Mike is the author of System Performance Tuning and a coauthor of Unix Power Tools. Most recently, he's been fooling around with data and data analysis, languages like R, Mathematica, and Octave, and thinking about how to make books social. Mike can be reached on Twitter @mikeloukides and on LinkedIn.

Hilary Mason is the General Manager for Machine Learning at Cloudera. Previously, she founded Fast Forward Labs, an applied machine learning research and advisory company, which was acquired by Cloudera in 2017. Hilary is the Data Scientist in Residence at Accel Partners, and is on the board of the Anita Borg Institute. Previously, she co-founded HackNY.org, a non-profit that helps engineering students find opportunities in New York's creative technical economy, served on Mayer Bloomberg's Technology Advisory Council, and was the Chief Scientist at Bitly. Hilary can be reached on Twitter @hmason and on LinkedIn.

DJ Patil is the first-ever U.S. Chief Data Scientist where he led the national strategy for data. Currently he is building Devoted Health, a new health care company with the mission to take care of every member like they were family. He is also a Senior Fellow at the Harvard Kennedy School and an Advisor to Venrock Partners. Previously, DJ served as VP of Product at RelateIQ, which was acquired by Salesforce.com, and Head of Data Products and Chief Security Officer at LinkedIn. DJ can be reached on Twitter @dpatil and on LinkedIn.

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