Was heute noch undenkbar scheint, ist morgen schon Alltag – sprechende Übungsbücher, Schulaufgaben, die von den Schülern lernen. Schneller als gedacht, wird Big Knowledge Einzug in Schulen und Klassenzimmer halten, so die These der beiden Experten und Erfolgsautoren Viktor Mayer-Schönberger und Kenneth Cukier. Und damit das Schulsystem und das Lernen von Grund auf verändern. Die beiden…
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Author : Viktor Mayer-Schönberger
Genre : Political Science
Summary : Was heute noch undenkbar scheint, ist morgen schon Alltag – sprechende Übungsbücher, Schulaufgaben, die von den Schülern lernen. Schneller als gedacht, wird Big Data Einzug in Schulen und Klassenzimmer halten, so die These der beiden Experten und Erfolgsautoren Viktor Mayer-Schönberger und Kenneth Cukier. Und damit das Schulsystem und das Lernen von Grund auf verändern. Die beiden Autoren von Big Data erklären, welche Neuheiten uns erwarten. Und zeigen, dass es nicht nur positiv ist, den Fortschritt der Schüler und Studenten immer besser messen zu können. Vor lauter PISA und Rankings bleibt oft das Wesentliche auf der Strecke – eine gute Bildung. Die Gefahr ist, dass das Lernen von der Quantität der Daten dominiert wird, und nicht von der Qualität, von Kreativität oder von Ideen. Sie plädieren daher eindringlich dafür, unsere Bildungssysteme schnellstens zukunftsfähig zu machen.
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Author : Viktor Mayer-Schönberger
Genre : Education
Summary : Homework assignments that learn from students. Courses tailored to fit individual pupils. Textbooks that talk back. This is tomorrow’s education landscape, thanks to the power of big data. These advances go beyond online courses. As the New York Times-bestselling authors of Big Data explain, the truly fascinating changes are actually occurring in how we measure students’ progress and how we can use that data to improve education for everyone, in real time, both on- and offline. Learning with Big Data offers an eye-opening, insight-packed tour through these new trends, for educators, administrators, and readers interested in the latest developments in business and technology.
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Author : Vladimir Shikhman
Genre : Computers
Summary : In this textbook, basic mathematical models used in Big Data Analytics are presented and application-oriented references to relevant practical issues are made. Necessary mathematical tools are examined and applied to current problems of data analysis, such as brand loyalty, portfolio selection, credit investigation, quality control, product clustering, asset pricing etc. – mainly in an economic context. In addition, we discuss interdisciplinary applications to biology, linguistics, sociology, electrical engineering, computer science and artificial intelligence. For the models, we make use of a wide range of mathematics – from basic disciplines of numerical linear algebra, statistics and optimization to more specialized game, graph and even complexity theories. By doing so, we cover all relevant techniques commonly used in Big Data Analytics.Each chapter starts with a concrete practical problem whose primary aim is to motivate the study of a particular Big Data Analytics technique. Next, mathematical results follow – including important definitions, auxiliary statements and conclusions arising. Case-studies help to deepen the acquired knowledge by applying it in an interdisciplinary context. Exercises serve to improve understanding of the underlying theory. Complete solutions for exercises can be consulted by the interested reader at the end of the textbook; for some which have to be solved numerically, we provide descriptions of algorithms in Python code as supplementary material.This textbook has been recommended and developed for university courses in Germany, Austria and Switzerland.
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Author : Joe Zhu
Genre : Business & Economics
Summary : This book explores the novel uses and potentials of Data Envelopment Analysis (DEA) under big data. These areas are of widespread interest to researchers and practitioners alike. Considering the vast literature on DEA, one could say that DEA has been and continues to be, a widely used technique both in performance and productivity measurement, having covered a plethora of challenges and debates within the modelling framework.
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Author : Viktor Mayer-Schönberger
Genre : Business & Economics
Summary : This revelatory exploration of big data, which refers to our newfound ability to crunch vast amounts of information, analyze it instantly and draw profound and surprising conclusions from it, discusses how it will change our lives and what we can do to protect ourselves from its hazards. 75,000 first printing.
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Author : Florin Pop
Genre : Computers
Summary : This book provides a review of advanced topics relating to the theory, research, analysis and implementation in the context of big data platforms and their applications, with a focus on methods, techniques, and performance evaluation. The explosive growth in the volume, speed, and variety of data being produced every day requires a continuous increase in the processing speeds of servers and of entire network infrastructures, as well as new resource management models. This poses significant challenges (and provides striking development opportunities) for data intensive and high-performance computing, i.e., how to efficiently turn extremely large datasets into valuable information and meaningful knowledge. The task of context data management is further complicated by the variety of sources such data derives from, resulting in different data formats, with varying storage, transformation, delivery, and archiving requirements. At the same time rapid responses are needed for real-time applications. With the emergence of cloud infrastructures, achieving highly scalable data management in such contexts is a critical problem, as the overall application performance is highly dependent on the properties of the data management service.
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Author : Vince Reynolds
Genre : Big data
Summary : Big Data For Beginners! The Ultimate Beginners Crash Course To Understanding And Interpreting Big Data! Are You Ready To Learn How To Understand SMART Big Data, Data Mining & Data Analytics For improved Business Performance, Life Decisions & More? If So You've Come To The Right Place - Regardless Of How Little Experience You May Have! Here's A Preview Of What Big Data For Beginners! Contains... A Conundrum Called 'Big Data' How To Understand Big Data Better What Can Big Data Do For You? Understanding The Analytics (And The Importance) The Obstacles And Importance Of The Big Data Situation We're In A Closer Look At Key Big Data Challenges Generating Business Value through Data Mining And Much, Much More! Order Your Copy Now And Let's Get Started!