Ergebnis für "Big Data" in Wissenschaft

An organization's future success depends on their decision makers' ability to anticipate changes and disruptions in the marketplace. This book provides the information you need to anticipate the future, understand tomorrow's market dynamics, and make the necessary decisions to meet the future on your terms. Small Data, Big Disruptions lets you exploit the period between the moment you could know about emerging disruptions and the moment most everybody will know about it. It's the difference between being ahead of the curve and struggling to catch up.

From facial recognition—capable of checking us onto flights or identifying undocumented residents—to automated decision systems that inform everything from who gets loans to who receives bail, each of us moves through a world determined by data-empowered algorithms. But these technologies didn't just appear: they are part of a history that goes back centuries, from the census enshrined in the US Constitution to the birth of eugenics in Victorian Britain to the development of Google search.

From one of the world’s leading data scientists, a landmark tour ofthe new science of idea flow, offering revolutionary insights into the mysteries of collective intelligence and social influence If the Big Data revolution has a presiding genius, it is MIT’s Alex “Sandy” Pentland. Over...

Every time we Google something, Facebook someone, or just carry a phone, we create data. Yet, we do not benefit from this wealth of information as much as we should. Andreas Weigend - an advisor to Alibaba, BMW, Hyatt, MasterCard, and Lufthansa, among others - wants to change that. In Data for the People, he proposes six basic data rights that we all need to make better decisions. Big data is here to stay. The time has come to shift the balance of power back to the individual.

Drawing on troves of declassified files, including records released by the government for the first time through the author's efforts, Restricted Data traces the complex evolution of the US nuclear secrecy regime from the first whisper of the atomic bomb through the mounting tensions of the Cold War and into the early 21st century. A compelling history of powerful ideas at war, it tells a story that feels distinctly American: rich, sprawling, and built on the conflict between high-minded idealism and ugly, fearful power.

Come here to keep up with the cutting edge research from the Journal of Astrological Big Data Ecology's from the finest researches from Cranberry Lemon University. Listen to Deep Dives of new research publications spanning topics as far ranging as machine learning, AI, biology, ecology, astronomy, astrology, computer science, mathematics, physics and many more STEM topics, Get to know the researchers through interviews with the authors and more!

There is no doubt science is currently suffering from a credibility crisis. This thought-provoking book argues that, ironically, science’s credibility is being undermined by tools created by scientists themselves. Scientific disinformation and damaging conspiracy theories are rife because of the Internet that science created, the scientific demand for empirical evidence and statistical significance leads to data torturing and confirmation bias, and data mining is fuelled by the technological advances in Big Data and the development of ever-increasingly powerful computers.

Il dato è il petrolio del XXI secolo. Grandi compagnie come Facebook, Apple, Amazon, Netflix, Google, Microsoft, Ibm e via elencando, sono tra le società con il maggior valore di capitalizzazione al mondo e continuano a crescere. La data driven economy è una realtà che non riguarda solo le grandi compagnie citate, ma tutti i settori. La consapevolezza che il dato crea un vantaggio competitivo è una realtà per tutte le aziende. Una delle tecnologie che è importante conoscere per chi vuole capire il mondo dei Big Data è Apache Hadoop.

Si usted está en la etapa de principiante y busca obtener nuevos conocimientos sobre el aprendizaje automático, entonces siga leyendo.... No escuche este audiolibro si usted está buscando un libro de texto aburrido que contenga mucha jerga de matemáticas y programación. Todos los días, alguien está renunciando a aprender sobre el aprendizaje automático. Muchas personas se pierden de continuar su carrera, y tal vez incluso el progreso de nuestra especie sin ni siquiera darse cuenta.

This book on machine learning will explain the concepts, methods, and history behind machine learning. Learn what it is, its importance, history, and much more.