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Author by : Sara Wachter-Boettcher Languange Used : en Release Date : 2017-10-10 Publisher by : W. W. Norton & Company ISBN : 9780393634648 File Size : 53,7 Mb Total Download : 615
“An entertaining romp that tells us where and why the tech industry, once America’s darling, went wrong, and what it might do to recover its good graces.” —Tim Wu, author of The Master Switch Buying groceries, tracking our health, finding a date: whatever we want to do, odds are that we can now do it online. But few of us realize just how many oversights, biases, and downright ethical nightmares are baked inside the tech products we use every day. It’s time we change that. In Technically Wrong, Sara Wachter-Boettcher demystifies the tech industry, leaving those of us on the other sid
Author by : Cathy O'Neil Languange Used : en Release Date : 2013-10-09 Publisher by : "O'Reilly Media, Inc." ISBN : 9781449363895 File Size : 51,9 Mb Total Download : 397
Now that people are aware that data can make the difference in an election or a business model, data science as an occupation is gaining ground. But how can you get started working in a wide-ranging, interdisciplinary field that’s so clouded in hype? This insightful book, based on Columbia University’s Introduction to Data Science class, tells you what you need to know. In many of these chapter-long lectures, data scientists from companies such as Google, Microsoft, and eBay share new algorithms, methods, and models by presenting case studies and the code they use. If you’re familiar wit
Author by : Hannah Fry Languange Used : en Release Date : 2019-03-28 Publisher by : Black Swan ISBN : 1784163066 File Size : 45,7 Mb Total Download : 985
'One of the best books yet written on data and algorithms. . .deserves a place on the bestseller charts.' (The Times) You are accused of a crime. Who would you rather determined your fate - a human or an algorithm? An algorithm is more consistent and less prone to error of judgement. Yet a human can look you in the eye before passing sentence. Welcome to the age of the algorithm, the story of a not-too-distant future where machines rule supreme, making important decisions - in healthcare, transport, finance, security, what we watch, where we go even who we send to prison. So how much should we