logo

EbookBell.com

Most ebook files are in PDF format, so you can easily read them using various software such as Foxit Reader or directly on the Google Chrome browser.
Some ebook files are released by publishers in other formats such as .awz, .mobi, .epub, .fb2, etc. You may need to install specific software to read these formats on mobile/PC, such as Calibre.

Please read the tutorial at this link:  https://ebookbell.com/faq 


We offer FREE conversion to the popular formats you request; however, this may take some time. Therefore, right after payment, please email us, and we will try to provide the service as quickly as possible.


For some exceptional file formats or broken links (if any), please refrain from opening any disputes. Instead, email us first, and we will try to assist within a maximum of 6 hours.

EbookBell Team

Data Science In Context Foundations Challenges Opportunities Alfred Z Spector

  • SKU: BELL-47927550
Data Science In Context Foundations Challenges Opportunities Alfred Z Spector
$ 31.00 $ 45.00 (-31%)

4.4

82 reviews

Data Science In Context Foundations Challenges Opportunities Alfred Z Spector instant download after payment.

Publisher: Cambridge University Press
File Extension: PDF
File size: 3 MB
Pages: 333
Author: Alfred Z. Spector, Peter Norvig, Chris Wiggins, Jeannette M. Wing
ISBN: 9781009272209, 9781009272230, 9781009272216, 9781009272193, 1009272209, 1009272233, 1009272217, 1009272195
Language: English
Year: 2022

Product desciption

Data Science In Context Foundations Challenges Opportunities Alfred Z Spector by Alfred Z. Spector, Peter Norvig, Chris Wiggins, Jeannette M. Wing 9781009272209, 9781009272230, 9781009272216, 9781009272193, 1009272209, 1009272233, 1009272217, 1009272195 instant download after payment.

Data science is the foundation of our modern world. It underlies applications used by billions of people every day, providing new tools, forms of entertainment, economic growth, and potential solutions to difficult, complex problems. These opportunities come with significant societal consequences, raising fundamental questions about issues such as data quality, fairness, privacy, and causation. In this book, four leading experts convey the excitement and promise of data science and examine the major challenges in gaining its benefits and mitigating its harms. They offer frameworks for critically evaluating the ingredients and the ethical considerations needed to apply data science productively, illustrated by extensive application examples. The authors' far-ranging exploration of these complex issues will stimulate data science practitioners and students, as well as humanists, social scientists, scientists, and policy makers, to study and debate how data science can be used more effectively and more ethically to better our world.

Related Products