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1) Clique and Storyful-Using Social Media to Explain Complex Data Analysis Systems: the Science Squad
Description
The Clique Center at University College Dublin is using the thinking behind social networking sites to explain the complex data analysis systems which they have developed. Their work has applications in global media where they are working with Irish start-up companies such as Mark Little's Storyful.
Author
Description
Data science is the foundation of our modern world. It underlies applications used by billions of people every day, providing new tools, forms of entertainment, economic growth, and potential solutions to difficult, complex problems. These opportunities come with significant societal consequences, raising fundamental questions about issues such as data quality, fairness, privacy, and causation. In this book, four leading experts convey the excitement...
Author
Description
"Data science is an umbrella term for the non-traditional techniques and technologies that are required to collect, aggregate, process, and gain insights from massive datasets. This book offers all the processes, methodologies, various steps such as data acquisition, preprocess, mining and prediction, and visualization tools for extracting insights from vast amounts of data using various scientific methods, algorithms, and processes. The readers will...
Author
Description
"In the fast moving world of the fourth industrial revolution not everyone needs to be a data scientist but everyone should be data literate, with the ability to read, analyze and communicate with data. It is not enough for a business to have the best technology if those using it don't understand the right questions to ask or how to use the information generated to make decisions. Be Data Literate is the essential guide to developing the curiosity,...
Author
Description
"This book provides an introduction to the mathematical and algorithmic foundations of data science, including machine learning, high-dimensional geometry, and analysis of large networks. Topics include the counterintuitive nature of data in high dimensions, important linear algebraic techniques such as singular value decomposition, the theory of random walks and Markov chains, the fundamentals of and important algorithms for machine learning, algorithms...
Author
Description
"A provocative, eye-opening, example-laden exploration of our current and future relationship with data"--
"To live in data in the twenty-first century is to be incessantly extracted from, classified and categorized, statisti-fied, sold, and surveilled. Data--our data--is mined and processed for profit, power, and political gain. In Living in Data, Thorp asks a crucial question of our time: How do we stop passively inhabiting data, and instead become...
Author
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"From facial recognition--capable of checking people into flights or identifying undocumented residents--to automated decision systems that inform who gets loans and 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...
8) Thinking big
Description
Filmed at Princeton's renowned Institute for Advanced Study, National Public Radio's Ira Flatow introduces viewers to some of today's greatest minds through intimate, cross-disciplinary conversations that spotlight science, mathematics, history, linguistics, art, and music. This program brings together six icons of intellect--mathematician John Nash, mathematical biologist Martin Nowak, mathematician Enrico Bombieri, mathematical physicist Freeman...
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