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Description
"What If? is a brilliant, revelatory account of the Cold War origins of the data-mad, algorithmic twenty-first century, from the author of the acclaimed international bestseller, These Truths. The Simulmatics Corporation, founded in 1959, mined data, targeted voters, accelerated news, manipulated consumers, destabilized politics, and disordered knowledge--decades before Facebook, Google, Amazon, and Cambridge Analytica. Silicon Valley likes to imagine...
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From two pioneers in business analytics, an update of the classic book on how analytics and business intelligence are transforming competition and how leading organizations build and compete on an analytical capability. Leading companies are doing more than just collecting and storing data in large quantities-they're now driving their competitive strategies based on data-driven insights. And achieving impressive results: Identifying the most profitable...
4) Shifting the balance: how top organizations beat the competition by combining intuition with data
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English
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"Digital transformation expert Mark Schrutt reveals how the world's top companies are using vast amounts of data to inform their decisions, disrupt industries, and get closer to their customers. Businesses that continue to rely only on intuition do so at their peril. What if you had the data you always wanted and could tell what was truly an emerging trend that would forever change your industry? Shifting the Balance analyzes the turn towards data-driven...
Author
Pub. Date
2023.
Edition
First edition.
Language
English
Description
"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...
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This book focuses on the foundations needed to be successful in managing and engaging with data analytics initiatives, bridging the gap between creators and users of data.
Currently, every company, no matter its size, is data-driven in one way or another, using data to improve customer experience, as a new value stream, and to stay competitive. However, many business leaders, professionals, and students-such as executives, business analysts, UI/UX...
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Businesses used to contact buyers by placing advertisements in newspapers, magazines, and on television and radio. Now they monitor your online shopping and product browsing habits. This book looks as the ways businesses spy on patrons, examines the reasons the marketplace has changed, argues the pros and cons of keeping tabs on cyber shoppers, and outlines the advantages corporate mining gives to larger companies.
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Build the foundational data science skills necessary to work with and better understand complex data science algorithms. This example-driven book provides complete Python coding examples to complement and clarify data science concepts and enrich the learning experience. Coding examples include visualizations whenever appropriate. The book is a necessary precursor to applying and implementing machine learning algorithms.
The book is self-contained....
Pub. Date
2014.
Language
English
Description
IT professionals around the globe are now being challenged to manage, organize and analyze these vast data sets strategically; to identify new business trends, conduct highly-advanced product research and even predict threats to enterprise security. This report will introduce and explore the world of "Big Data" and offer advice and best practices that will help professionals understand and make the most of this incredible organizational resource....
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Leverage the power of the Python data science libraries and advanced machine learning techniques to analyse large unstructured datasets and predict the occurrence of a particular future event. Key Features Explore the depths of data science, from data collection through to visualization Learn pandas, scikit-learn, and Matplotlib in detail Study various data science algorithms using real-world datasets Book Description Data Science with Python begins...
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You know less than you think you do - about what makes you healthy, what makes you rich, who you should date, where you should live. You know less than you think you do about how to raise your children, or, for that matter, whether you should have children in the first place. Seth Stephens-Davidowitz showed how big data is revolutionising the social sciences. He shows how big data can help us find answers to some of the most important questions we...
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From the New York Times bestselling author of Big Data, a prediction for how data will revolutionize the market economy and make cash, banks, and big companies obsolete
In modern history, the story of capitalism has been a story of firms and financiers. That's all going to change thanks to the Big Data revolution. As Viktor Mayer-Schörger, bestselling author of Big Data, and Thomas Ramge, who writes for The Economist, show, data is replacing...
16) Data-ism: the revolution transforming decision making, consumer behavior, and almost everything else
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By one estimate, 90 percent of all of the data in history was created in the last two years. In 2014, International Data Corporation calculated the data universe at 4.4 zettabytes, or 4.4 trillion gigabytes. That much information, in volume, could fill enough slender iPad Air tablets to create a stack two-thirds of the way to the moon. Now, that's Big Data.
Coal, iron ore, and oil were the key productive assets that fueled the Industrial Revolution....
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So you're not a numbers person? No worries! You say that you can't understand how to read, let alone implement, these complex software programs that crunch all the data and spit out . . . more data? Not a problem either! There is a costly misconception in business today--that the only data that matters is BIG data, and that elaborate tools and data scientists are required to extract any practical information. But actually, nothing could be further...
18) Scala programming for big data analytics: get started with big data analytics using Apache Spark
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English
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Gain the key language concepts and programming techniques of Scala in the context of big data analytics and Apache Spark. The book begins by introducing you to Scala and establishes a firm contextual understanding of why you should learn this language, how it stands in comparison to Java, and how Scala is related to Apache Spark for big data analytics. Next, youll set up the Scala environment ready for examining your first Scala programs. Youll start...
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"Data is fundamental to the modern world. From economic development to health care to education and public policy, we rely on numbers to allocate resources and make crucial decisions. But because so much data fails to take into account gender, because it treats men as the default and women as atypical, bias and discrimination are baked into our systems. And women pay tremendous costs for this bias, in time, money, and often with their lives. Celebrated...
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