Ethics and Data Science Mike Loukides, Hilary Mason, DJ Patil
(ebook)
(audiobook)
(audiobook)
- Autorzy:
- Mike Loukides, Hilary Mason, DJ Patil
- Wydawnictwo:
- O'Reilly Media
- Ocena:
- Stron:
- 40
- Dostępne formaty:
-
ePubMobi
Opis
książki
:
Ethics and Data Science
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.
Mike Loukides, Hilary Mason, DJ Patil - pozostałe książki
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Succeeding with data isn’t just a matter of putting Hadoop in your machine room, or hiring some physicists with crazy math skills. It requires you to develop a data culture that involves people throughout the organization. In this O’Reilly report, DJ Patil and Hilary Mason outline the steps you need to take if your company is to be truly data-drive-
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In the early days of the 20th century, department store magnate JohnWanamaker famously said, "I know that half of my advertising doesn'twork. The problem is that I don't know which half." That remainedbasically true until Google transformed advertising with AdSense basedon new uses of data and analysis. The same might be said about healthcare and i-
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Acclaimed data scientist DJ Patil details a new approach to solving problems in Data Jujitsu.Learn how to use a problem's "weight" against itself to:Break down seemingly complex data problems into simplified parts Use alternative data analysis techniques to examine them Use human input, such as Mechanical Turk, and design tricks that enlist the hel-
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Have we entered the age of NoOps infrastructures? Hardly. Old-style system administrators may be disappearing in the face of automation and cloud computing, but operations have become more significant than ever. As this O’Reilly Radar Report explains, we’re moving into a more complex arrangement known as "DevOps."Mike Loukides, O’Reilly’s VP of Con-
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In the past few years, we’ve seen many data products based on predictive modeling. These products range from weather forecasting to recommendation engines like Amazon's. Prediction technology can be interesting and mathematically elegant, but we need to take the next step: going from recommendations to products that can produce optimal strategies f-
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As data science evolves to become a business necessity, the importance of assembling a strong and innovative data teams grows. In this in-depth report, data scientist DJ Patil explains the skills, perspectives, tools and processes that position data science teams for success.Topics include: What it means to be "data driven." The unique roles of dat-
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This report examines the important shifts in data products. Drawing from diverse examples, including iTunes, Google's self-driving car, and patient monitoring, author Mike Loukides explores the "disappearance" of data, the power of combining data, and the difference between discovery and recommendation. Looking ahead, the analysis finds the real ch-
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We've all heard it: according to Hal Varian, statistics is the next sexy job. Five years ago, in What is Web 2.0, Tim O'Reilly said that "data is the next Intel Inside." But what does that statement mean? Why do we suddenly care about statistics and about data? This report examines the many sides of data science -- the technologies, the companies a-
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System Performance Tuning answers one of the most fundamental questions you can ask about your computer: How can I get it to do more work without buying more hardware? In the current economic downturn, performance tuning takes on a new importance. It allows system administrators to make the best use of existing systems and minimize the purchase of-
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Szczegóły książki
- ISBN Ebooka:
- 978-14-920-7821-0, 9781492078210
- Data wydania ebooka :
-
2018-07-25
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- Język publikacji:
- angielski
- Rozmiar pliku ePub:
- 2MB
- Rozmiar pliku Mobi:
- 3.5MB
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