MARC details
| 000 -CABECERA |
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| campo de control de longitud fija |
03646nam a2200337Ia 4500 |
| 001 - NÚMERO DE CONTROL |
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| campo de control |
2425 |
| 008 - DATOS DE LONGITUD FIJA--INFORMACIÓN GENERAL |
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| campo de control de longitud fija |
230305s2018 xx 000 0 und d |
| 020 ## - NÚMERO INTERNACIONAL ESTÁNDAR DEL LIBRO |
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| Número Internacional Estándar del Libro |
9780062390868 |
| 040 ## - FUENTE DE LA CATALOGACIÓN |
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| Centro/agencia transcriptor |
tbs |
| 041 ## - CÓDIGO DE LENGUA |
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| Código de lengua del texto/banda sonora o título independiente |
eng |
| 043 ## - CÓDIGO DE ÁREA GEOGRÁFICA |
|---|
| Código de área geográfica |
en_UK |
| 245 #0 - MENCIÓN DE TÍTULO |
|---|
| Título |
Everybody lies |
| Resto del título |
: big data, new data, and what the Internet reveals about who we really are |
| 260 ## - PUBLICACIÓN, DISTRIBUCIÓN, ETC. |
|---|
| Nombre del editor, distribuidor, etc. |
Dey St., an imprint of William Morrow, |
| Fecha de publicación, distribución, etc. |
2018 |
| 300 ## - DESCRIPCIÓN FÍSICA |
|---|
| Extensión |
xiii, 338 pages : illustrations ; 21 cm |
| 505 ## - NOTA DE CONTENIDO CON FORMATO |
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| Nota de contenido con formato |
Part I: Data, big and small - Your faulty gut - Part II: The powers of big data - Was Freud right? - Data reimagined - Digital truth serum - Zooming in - All the world's a lab - Part III: Big data: handle with care - Big data, big schmata? What it cannot do - Mo data, mo problems? what we shouldn't do - Conclusion: How many people finish books?. |
| 520 ## - SUMARIO, ETC. |
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| Sumario, etc. |
Blending the informed analysis of The Signal and the Noise with the instructive iconoclasm of Think Like a Freak, a fascinating, illuminating, and witty look at what the vast amounts of information now instantly available to us reveals about ourselves and our world-provided we ask the right questions. By the end of an average day in the early twenty-first century, human beings searching the internet will amass eight trillion gigabytes of data. This staggering amount of information-unprecedented in history-can tell us a great deal about who we are-the fears, desires, and behaviors that drive us, and the conscious and unconscious decisions we make. From the profound to the mundane, we can gain astonishing knowledge about the human psyche that less than twenty years ago, seemed unfathomable. Everybody Lies offers fascinating, surprising, and sometimes laugh-out-loud insights into everything from economics to ethics to sports to race to sex, gender and more, all drawn from the world of big data. What percentage of white voters didn't vote for Barack Obama because he's black? Does where you go to school effect how successful you are in life? Do parents secretly favor boy children over girls? Do violent films affect the crime rate? Can you beat the stock market? How regularly do we lie about our sex lives and who's more self-conscious about sex, men or women? Investigating these questions and a host of others, Seth Stephens-Davidowitz offers revelations that can help us understand ourselves and our lives better. Drawing on studies and experiments on how we really live and think, he demonstrates in fascinating and often funny ways the extent to which all the world is indeed a lab. With conclusions ranging from strange-but-true to thought-provoking to disturbing, he explores the power of this digital truth serum and its deeper potential-revealing biases deeply embedded within us, information we can use to change our culture, and the questions we're afraid to ask that might be essential to our health-both emotional and physical. All of us are touched by big data everyday, and its influence is multiplying. Everybody Lies challenges us to think differently about how we see it and the world. |
| 590 ## - NOTA LOCAL (RLIN) |
|---|
| Procedencia (VM) [OBSOLETO] |
Includes bibliographical references (pages 289-318) and index. |
| 630 ## - PUNTO DE ACCESO ADICIONAL DE MATERIA--TÍTULO UNIFORME |
|---|
| Título uniforme |
QA MATHEMATICS |
| 9 (RLIN) |
2046 |
| 650 ## - PUNTO DE ACCESO ADICIONAL DE MATERIA--TÉRMINO DE MATERIA |
|---|
| Término de materia o nombre geográfico como elemento de entrada |
Data mining |
| Subdivisión general |
Social aspects |
| 9 (RLIN) |
10668 |
| 650 ## - PUNTO DE ACCESO ADICIONAL DE MATERIA--TÉRMINO DE MATERIA |
|---|
| Término de materia o nombre geográfico como elemento de entrada |
Big data aspects |
| 9 (RLIN) |
10669 |
| 650 ## - PUNTO DE ACCESO ADICIONAL DE MATERIA--TÉRMINO DE MATERIA |
|---|
| Término de materia o nombre geográfico como elemento de entrada |
Internet aspects |
| 9 (RLIN) |
10670 |
| 650 #0 - PUNTO DE ACCESO ADICIONAL DE MATERIA--TÉRMINO DE MATERIA |
|---|
| Término de materia o nombre geográfico como elemento de entrada |
Data mining |
| 9 (RLIN) |
7979 |
| 650 ## - PUNTO DE ACCESO ADICIONAL DE MATERIA--TÉRMINO DE MATERIA |
|---|
| Término de materia o nombre geográfico como elemento de entrada |
Social aspects |
| 9 (RLIN) |
10671 |
| 700 ## - ENTRADA AGREGADA--NOMBRE PERSONAL |
|---|
| Nombre de persona |
Pinker, Steven |
| Término indicativo de función/relación |
Author |
| 9 (RLIN) |
10672 |
| 700 ## - ENTRADA AGREGADA--NOMBRE PERSONAL |
|---|
| Nombre de persona |
Stephens-Davidowitz, Seth |
| Término indicativo de función/relación |
Author |
| 9 (RLIN) |
10673 |
| 902 ## - ELEMENTOS DE DATOS B LOCAL, LDB (RLIN) |
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| a |
494 |
| 905 ## - ELEMENTOS DE DATOS E LOCAL, LDE (RLIN) |
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| a |
m |
| 911 ## - EQUIVALENCIA O REFERENCIA-CRUZADA-NOMBRE DE CONFERENCIA O REUNIÓN/CONGRESO [LOCAL, CANADÁ] |
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| Nombre de congreso/reunión o jurisdicción como elemento de entrada |
https://biblioteca.tbs-education.es/portadas/9780062390868.jpg |
| 942 ## - ELEMENTOS DE ENTRADA AGREGADA (KOHA) |
|---|
| Código de la institución [OBSOLETO] |
1 |
| Fuente del sistema de clasificación o colocación |
Clasificación Decimal Dewey |
