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A concise, clear-written and eye-opening book, it is even more frightful, for the fact that is it in fact science fiction of the harrowing kind becoming reality as we speak. I belong to the lucky (?) Another frightening consequence of using Tinder which is on the rise is physical and sexual assault. Facebook news bubbles, insurance profiles and other common phenomena are the main examples she uses. But O'Neil's point in this book is that all algorithms include basic assumptions, and sometimes those basic assumptions are full of bias and not grounded in fact. Want to start fresh on Tinder?The following steps will show you how to reset Tinder so the app forgets everything about you — who you’ve swiped on, who’s swiped on you, your ELO score, etc.. Shit's so annoyingIk and I don't use tinder except for when I'm really bored. Next time I teach a class involving statistics, I may use this book to show students how it is dangerous to blindly believe the numbers.Big Data is opaque, complicated, managed by profit-seeking corporations, and is more and more dictating certain societal conditions: from getting a job to applying to college to receiving healthcare. I'm rather sorry that I only got around to reading this book in December, otherwise I would have voted for it on Goodreads Choice Awards. Can he and they sustain this for Seven Seasons? I also know that when someone likes you, then this person's profile goes to the top of your list with all the others that also swiped you right, which does not seem the case, as I usually find her after lots of "swipes". Well written. You chat with her every day for days, then weeks, then months. And the even worse cases where people start with good intentions, like ridding school systems of bad teachers, only to toss out "false negatives."Captivating. So they take my money block me and say nothing you can do about it. 22 Episoden a ca 41 Min auf 5 Discs. Star Simon Baker was made for this role and his character carries a personal past history that manages to intertwine with the other weekly mysteries that keep you on your toes. All thoughts are my own.

AlphaGo crushed it! I started this book with an ambivalent outlook on its premise, but by the end, I was a believer and my skepticism level towards algoritms increased.Fear not, mathophobes!

At times, designers are not conscious of their reliance on biased data and design, at other times, they are. 0553418815 Für mich ist die Serie die genialste der Welt. Big data refers to the massive amount of information now available because of computers that is collected and analyzed and sold to third parties.This book shows the hidden ways in which the use of "Big Data" is much more far-reaching and harmful than expected. I do get matches easily but not with women I like in the end.All those “likes” are mostly people you’ve already swiped left on, outside of your search results, and very few actually liked you and are still in your swipe queue.They were probably all bots that got removed. I don't think people really know how the obsession with Big Data and algorithms is about to control/influence our lives. *I received a copy of this book through Netgalley. I was somewhat aware that she was involved with Occupy Wall Street's financial policy arm, and after I heard about this book, also learned that she had been co-hosting a podcast on Slate (which she is now about to leave!--but I still have a lot of back-episodes to listen to).Cathy O'Neil was my professor for number theory in college, I think in 2006. We have to explicitly embed better values into our algorithms, creating Big Data models that follow our ethical lead. Start by marking “Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy” as Want to Read: When you reach the airport, you look around, searching for the face you've already seen a hundred times. Chris Germany. Free WiFi 9.2 . Thanks to the feedback loop mathematical models can virtually prove anything their creators want them to prove, depending on their objectives and financial interests. "Data," on its own, seems amoral, a way to implement systems that are more fair. *This book shows the hidden ways in which the use of "Big Data" is much more far-reaching and harmful than expected. With a data scientist writing a full length book inditing data science one expects a deep dive revealing real points. Ich lache über ihre Ironie, denn hier ist im Ernstfall kaum genügend Platz die Karawane zu drehen.


Anyone interested in public policy, management theories, or scoring systems should read this.