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MEGA VÝHODNÉ
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E-kniha: Každý klame
Lindeni Dostupné279 Kč
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Každý klame
Stephens-Davidowitz, Seth Dostupné282 Kč
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Warum Sie Ihrem Bauchgefühl weniger trauen sollten
Stephens-Davidowitz, Seth Dostupné385 Kč
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Wszyscy kłamią. Big data, nowe dane i wszystko..
Stephens-Davidowitz, Seth Dostupné246 Kč
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Nie ufaj swojej intuicji. Jak korzystać z danych
Stephens-Davidowitz, Seth Dostupné266 Kč
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Don't Trust Your Gut
Stephens-Davidowitz, Seth Dostupné818 Kč
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Don´t Trust Your Gut: Using Data Instead of Instinct to Make Better Choices
Stephens-Davidowitz, Seth Dostupné304 Kč
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Everybody Lies
Stephens-Davidowitz, Seth Dostupné308 Kč
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Všichni lžou - Velká data, chytré algoritmy a jak nám internet může říct, kdo opravdu jsme
Stephens-Davidowitz, Seth Není skladem322 Kč
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E-kniha: Všichni lžou
Host Není skladem229 Kč
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Don't Trust Your Gut
Stephens-Davidowitz, Seth Není sklademVýhodné306 Kč
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Don't Trust Your Gut
Stephens-Davidowitz, Seth Není sklademMega nabídka714 Kč
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Don't Trust Your Gut
Stephens-Davidowitz, Seth Není skladem413 Kč
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Wszyscy kłamią
Stephens-Davidowitz, Seth Není skladem250 Kč
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Everybody Lies
Stephens-Davidowitz, Seth Není skladem324 Kč
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International Education and Development
Stephens-Davidowitz, Seth Není sklademMega nabídka3 528 Kč
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Foraging Theory
Stephens-Davidowitz, Seth Není sklademMega nabídka1 620 Kč
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Everybody Lies
Stephens-Davidowitz, Seth Není skladem596 Kč
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Everybody Lies
Stephens-Davidowitz, Seth Není skladem359 Kč
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Qualitative Research in International Settings
Stephens-Davidowitz, Seth Není skladem942 Kč
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Recenze knih autora
shax napsal/a o Všichni lžou - Velká data, chytré algoritmy a jak nám internet může říct, kdo opravdu jsme
Kniha nejen pro matematické nadšence, jako jsem já, ale spíš taková statistika populárně naučná.
Zjistíte, že strejda Google o vás ví víc než vy sami, a některá zjištění jsou opravdu překvapivá.
Jediné, za co strhávám tu jednu hvězdičku, je to, že je autor z amerického prostředí a tedy - celkem logicky - knížka obsahuje vyhodnocená data pouze z oblasti USA. Mě by ovšem hodně z... číst celéajímalo, jak se má situace v ČR nebo alespoň v Evropě. Přece jen naivně věřím, že by snad aspoň nějaké výsledky vypadaly jinak.
Zjistíte, že strejda Google o vás ví víc než vy sami, a některá zjištění jsou opravdu překvapivá.
Jediné, za co strhávám tu jednu hvězdičku, je to, že je autor z amerického prostředí a tedy - celkem logicky - knížka obsahuje vyhodnocená data pouze z oblasti USA. Mě by ovšem hodně z... číst celéajímalo, jak se má situace v ČR nebo alespoň v Evropě. Přece jen naivně věřím, že by snad aspoň nějaké výsledky vypadaly jinak.
Zknihydohlavy napsal/a o Everybody Lies
An interesting book focused on big data and data analysis. The author emphasizes growing importance of big data in social sciences and social science research. The underlying message is that data is everywhere. You can find several sets of data from Google searches, Facebook and other social networks, but also from thousands of pages from published books, pictures, songs etc. All this d... číst celéata can be subject to a scientific research and given their sheer volume, the outcomes should definitely have some statistical importance, in particular compared to a traditional social science research based on a small group of participants (mostly grad students). Stephens-Davidowitz further suggests that such data may additionally be carrying more truth (digital truth serum) as opposed to those submitted by people in traditional questionaires.
The author pointed out some of the interesting findings that arised from his own research. In particular, contrary to what has many tradional public opinion poll makers had drawn from Barrack Obama being elected a president (having interpreted it practically as the end of racism), the Google searches on that topic had strongly indicated otherwise (that it actually raised the level of racism within the US society). Further on, contrary to popular beliefs (as it is, for example, claimed in a recent Netflix documentary Social Dilemma), the author's findings suggests that the proliferation of social media does not significantly participate on polarization of the society by locking the people within their own social groups and preventing them from comming across differing opinions or views. The liberal democrat may enjoy The New York Times as much as the 'average' white supremacist. If true, this would indicate that our world and society is yet again much more complicated than what the popular belief may suggest.
From seeing what could be found in data, it may almost seem that everything is possible with the big data - answer to any question may be found with the help of data analysis. This is why I was very pleased that the author decided to point out also some of the shortcommings of the data-driven approach. To me, one of the biggest issues is what Stephens-Davidowitz describes as 'dimensionality problem'. In a sufficiently large data set, (spurious) correlation could be found between the two observed items without establising the causation between the two. Further on, with the advancement of technological progress, especially in the field of Internet companies, big data play huge role in making the algorithms even more effective at what they do. This may be achieved by the so called 'AB testing' which allows engineers in tech companies to test basically any aspect of their product or service on a large sample of users to find out which version meets its purpose the best. While this may be great for the companies, when mishandled, it may very well end up as a weapon against the customers (tool of surveillance capitalism).
To conclude, data-science and big data certainly will be a big deal in comming years. It already changes several aspects of our lives and it can be expected that this trend will only continue.
The author pointed out some of the interesting findings that arised from his own research. In particular, contrary to what has many tradional public opinion poll makers had drawn from Barrack Obama being elected a president (having interpreted it practically as the end of racism), the Google searches on that topic had strongly indicated otherwise (that it actually raised the level of racism within the US society). Further on, contrary to popular beliefs (as it is, for example, claimed in a recent Netflix documentary Social Dilemma), the author's findings suggests that the proliferation of social media does not significantly participate on polarization of the society by locking the people within their own social groups and preventing them from comming across differing opinions or views. The liberal democrat may enjoy The New York Times as much as the 'average' white supremacist. If true, this would indicate that our world and society is yet again much more complicated than what the popular belief may suggest.
From seeing what could be found in data, it may almost seem that everything is possible with the big data - answer to any question may be found with the help of data analysis. This is why I was very pleased that the author decided to point out also some of the shortcommings of the data-driven approach. To me, one of the biggest issues is what Stephens-Davidowitz describes as 'dimensionality problem'. In a sufficiently large data set, (spurious) correlation could be found between the two observed items without establising the causation between the two. Further on, with the advancement of technological progress, especially in the field of Internet companies, big data play huge role in making the algorithms even more effective at what they do. This may be achieved by the so called 'AB testing' which allows engineers in tech companies to test basically any aspect of their product or service on a large sample of users to find out which version meets its purpose the best. While this may be great for the companies, when mishandled, it may very well end up as a weapon against the customers (tool of surveillance capitalism).
To conclude, data-science and big data certainly will be a big deal in comming years. It already changes several aspects of our lives and it can be expected that this trend will only continue.
Jacu napsal/a o Všichni lžou - Velká data, chytré algoritmy a jak nám internet může říct, kdo opravdu jsme
Naprosto úžasná kniha, pokud se zajímáte o širší pojetí světa skrze internet. Autorova prvotina mi přišla do ruky jako dárek k Vánocům. Líbil se mi název, tak jsem jí otevřela a zavřely až po jejím přečtení. Autor je neuvěřitelný. Seznámí vás s daty, jak jsou oficiálně presentována a informacemi, co získal z internetu. Bomba. Už se vám nebude chtít věřit ničemu z médií. Vždy vám do hlav... číst celéy pronikne otázka, a je to skutečně pravda? Co by řeky GoogleTrends a Google Ads? Brilantní. Těším se na další.
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