Isbn: 9781009272209 - data science in context: foundations, challenges, opportunities (26 risultati)

Condizione: Good. A sound copy with only light wear. Overall a solid copy at a great price.

Condizione: acceptable. Used - Acceptable: All pages and the cover are intact, but shrink wrap, dust covers, or boxed set case may be missing. Pages may include limited notes, highlighting, or minor water damage but the text is readable. Item may be missing bundled media.

Condizione: good. Supports Goodwill of Silicon Valley job training programs. The cover and pages are in Good condition! Any other included accessories are also in Good condition showing use. Use can include some highlighting and writing, page and cover creases as well as other types visible wear.

Paperback. Condizione: Fine. 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.…

Paperback. Condizione: Very Good. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.

Hardcover. Condizione: Very Good. No Jacket. 1st Edition.

Hardcover. Condizione: Fine. No Jacket. 1st Edition. Cambridge University Press hardcover sans jacket (as issued), 2023-1st printing, Columbia University bookplate on title page SIGNED by Jeannette M. Wing and Chris Wiggins else unmarked, no signs of use, slight cover wear else as New. We will bubble wrap the book and ship it in a New BOX- Not a plastic bag like the zombie sellers.…

Condizione: New.

Hardback or Cased Book. Condizione: New. Data Science in Context. Book.

Condizione: As New. Unread book in perfect condition.

Condizione: New.

Condizione: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.

Condizione: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.

Condizione: New. New edition NO-PA16APR2015-KAP.

Condizione: New.

Condizione: New.

Condizione: New. In.

Condizione: New.

Condizione: New. 2022. New. Hardcover. . . . . .

Condizione: As New. Unread book in perfect condition.

Condizione: New. 2022. New. Hardcover. . . . . . Books ship from the US and Ireland.

Hardcover. Condizione: Brand New. 335 pages. 9.61x6.69x0.75 inches. In Stock.

Hardcover. Condizione: New Books. Brand New! Fast Delivery This is an International Edition and ship within 24-48 hours. Deliver by FedEx and Dhl, & Aramex, UPS, & USPS and we do accept APO and PO BOX Addresses. Order can be delivered worldwide within 6-10 days and we do have flat rate for up to 2LB. Extra shipping charges will be requested if the Book weight is more than 5 LB. This Item May be shipped from India, United states & United Kingdom. Depending on your location and availability.…

Hardback. Condizione: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.

Hardcover. Condizione: new. Hardcover. 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. Four leading experts convey the excitement and promise of data science and examine the major challenges in gaining its benefits and mitigating potential harms. Aimed at practitioners and students as well as humanists, social scientists, scientists, and policy makers, the book discusses how to use data science more effectively and more ethically. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. &Uumlber den AutorAlfred Z. Spector is a technologist and research leader. His career has led him from innovation in large scale, networked computing systems (at Stanford, CMU, and his company, Transarc) to broad research leadership: fi.…