My Library

LEADER 00000cam  22002175a 4500 
008    210908s2022    nyu           000 0 eng   
020    9780192847263|q(hardback) 
020    9780192847270|q(paperback) 
020    |z9780192663023|q(ebook) 
020    |z9780191939655 
050 14 QA76.9.B45|bM37 2022 
100 1  Martens, David 
245 10 Data science ethics :|bconcepts, techniques and cautionary
       tales /|cDavid Martens. 
264  1 New York :|bOxford University Press,|c2022. 
300    xii, 255 p. ;|c24 cm. 
500    KH-AUL-8 
520    "This combination of scholarly expertise and practical 
       experience has resulted in a book that fills an important 
       gap. Writings on data science and ethics generally fall 
       into one of two categories. First we have scholarly 
       articles, written for other scholars. Although I write 
       them myself, I have a very difficult time recommending 
       scholarly articles to my practically oriented students--
       seldom do they contain clear practical lessons and often 
       they are not even accessible to practitioners. The other 
       main category is writings in the popular press on the 
       collision of data science and ethics. Unfortunately, these
       rarely have a sold data-science foundation and often they 
       seem intended to be sensational rather than truly 
       informative"--|cProvided by publisher. 
650  0 Big data|xMoral and ethical aspects 
650  0 Data mining|xMoral and ethical aspects