Showing titles in Data Science

Muchos acontecimientos del pasado han demostrado que disponer de la información adecuada y saber interpretarla a tiempo supone la diferencia entre el éxito y el fracaso en campos tan diversos como el de la agricultura o el de los negocios. La ciencia de datos es hoy una realidad en pleno desarrollo, en la que la visualización de la información resulta clave para extraer el máximo conocimiento y adoptar las mejores decisiones.

En un día promedio de principios del siglo xxi, los seres humanos que buscan en Internet acumulan ocho billones de gigabytes de datos. Esta asombrosa cantidad de información puede decirnos mucho sobre quiénes somos, los miedos, deseos y comportamientos que nos impulsan y las decisiones conscientes e inconscientes que tomamos. De lo profundo a lo mundano, podemos obtener un asombroso conocimiento sobre la psique humana que hace menos de veinte años parecía insondable.

This book brings order to the chaotic and rapidly evolving world of influencer marketing by providing listeners with much needed context, frameworks and best practices. Written for busy marketing professionals working in both domestic and international markets, it addresses these topics in a highly actionable and engaging manner.

Focusing on the business and financial value of big data analytics, respected technology journalist Frank J. Ohlhorst shares his insights on the newly emerging field of big data analytics in Big Data Analytics. This breakthrough book demonstrates the importance of analytics, defines the processes, highlights the tangible and intangible values, and discusses how you can turn a business liability into actionable material that can be used to redefine markets, improve profits, and identify new business opportunities.

Big Data Revolution is a guide to improving performance, making better decisions, and transforming business through the effective use of big data. Listeners are guided through tried-and-true methodologies for getting more out of data and using it to the utmost advantage. This audiobook describes the major trends emerging in the field, the pitfalls and triumphs being experienced, and the many considerations surrounding big data, all while guiding listeners toward better decision-making from the perspective of a data scientist.   

From the bedroom terminals of teenagers isolated from their peers by their hyperactive intellects, to the nerve center of a nationwide long-distance phone company infiltrated by a hacker's hand, Masters of Deception offers an unprecedented tour of the murkiest reaches of the electronic frontier and a trenchant, blow-by-blow chronicle of the most notorious gang war in cyberspace.

"Big Data" is on the covers of Science, Nature, The Economist, and Wired magazines, on the front pages of the Wall Street Journal and The New York Times. But despite the media hyperbole, as Christine Borgman points out in this examination of data and scholarly research, having the right data is usually better than having more data; little data can be just as valuable as big data. Borgman, an often-cited authority on scholarly communication, argues that data have no value or meaning in isolation; they exist within a knowledge infrastructure.

Big data - the enormous amount of data that is created as virtually every movement, transaction, and choice we make becomes digitized - is revolutionizing business. Offering real-world insight and explanations, this audiobook provides a roadmap for organizations looking to develop a profitable big data strategy...and reveals why it's not something they can leave to the I.T. department. Think Bigger is an essential resource for anyone who wants to ensure that their company isn't left in the dust.

Between 1959 and 1989, Soviet scientists and officials made numerous attempts to network their nation - to construct a nationwide computer network. None of these attempts succeeded, and the enterprise had been abandoned by the time the Soviet Union fell apart. Meanwhile, ARPANET, the American precursor to the Internet, went online in 1969. Why did the Soviet network, with top-level scientists and patriotic incentives, fail while the American network succeeded? Find out.

The greatest threat to privacy today is not the NSA, but good-old American companies. Internet giants, leading retailers, and other firms are voraciously gathering data with little oversight from anyone. In Las Vegas, no company knows the value of data better than Caesars Entertainment. Many thousands of enthusiastic clients pour through the ever-open doors of their casinos. The secret to the company’s success lies in their one unrivaled asset: they know their clients intimately by tracking the activities of the overwhelming majority of gamblers.

When "metadata" became breaking news, appearing in stories about surveillance by the National Security Agency, many members of the public encountered this once-obscure term from information science for the first time. Should people be reassured that the NSA was "only" collecting metadata about phone calls - information about the caller, the recipient, the time, the duration, the location - and not recordings of the conversations themselves? Or does phone call metadata reveal more than it seems?

Ever woken from a night of revelry to find your drunken antics the subject of a tagfest? Ever accidentally wall-posted yourself into a relationship row or been hunted by a school-days stalker? If your real social life is dying a death at the hands of your virtual one, fear not, Facebookers - help is just a little book away.This cheeky unofficial guide will show you how to navigate the perilous pitfalls of life online while having as much fun as possible.

This book explores how decision-making is changing in the digital economy. The role of data and intuition will continue to rebalance as analytics take on a more significant role in how companies develop and execute strategy. Case studies explore best-in-class organizations from various sectors including pro sports, media, and finance.

In Generative AI: Navigating the Course to the Artificial General Intelligence Future, Martin Musiol delivers an incisive and one-of-a-kind discussion of the current capabilities, future potential, and inner workings of generative artificial intelligence. In the book, you'll explore the short but eventful history of generative artificial intelligence, what it's achieved so far, and how it's likely to evolve in the future. You'll also get a peek at how emerging technologies are converging to create exciting new possibilities in the GenAI space.

This audiobook is narrated by an AI Voice. Stell dir vor, du triffst Entscheidungen nicht mehr nach Bauchgefühl – sondern weil die Daten es dir sagen. Du erkennst Trends, bevor sie entstehen. Und du nutzt die Informationsflut als Werkzeug, nicht als Bedrohung. Genau das ermöglicht Big Data...

This audiobook is narrated by an AI Voice. In today’s digital world, organizations generate enormous volumes of data every second from websites, mobile applications, social media, sensors, financial systems, and connected devices. Managing and processing this data efficiently requires modern...

This audiobook is narrated by an AI Voice. A Data Lake is a centralized storage system that allows organizations to store massive amounts of structured, semi-structured, and unstructured data in its raw format. Unlike traditional databases or data warehouses that require data to be processed...

This audiobook is narrated by an AI Voice. Data is the backbone of every modern business — but raw data alone has little value without the systems that collect, transform, store, and deliver it efficiently. Data Engineering is your practical guide to designing scalable data pipelines, managing...

海外のトップ頭脳も予測した！　最新テクノロジーによる2030年の世界　テクノロジーはどこまで進化するのか？人間は駆逐される？AIって結局、わたしたちにどんな影響を与えるの？

The Data Analytics Advantage is a comprehensive guide that equips listeners with the essential skills to analyze and leverage social media data for strategic decision-making. Combining academic principles with case studies, social media analytics expert Laeeq Khan provides a foundational...