Títulos em Ciência de Dados

Coal, iron ore, and oil were the key productive assets that fueled the Industrial Revolution. Today data is the vital raw material of the information economy. The explosive abundance of this digital asset, more than doubling every two years, is creating a new world of opportunity and challenge. Data-ism is about this next phase, in which vast, Internet-scale data sets are used for discovery and prediction in virtually every field. It is a journey across this emerging world with people, illuminating narrative examples, and insights.

In this explosive memoir, a political consultant and technology whistleblower reveals the disturbing truth about the multi-billion-dollar data industry, revealing to the public how companies are getting richer using our personal information and exposing how Cambridge Analytica exploited weaknesses in privacy laws to help elect Donald Trump - and how this could easily happen again in the 2020 presidential election.

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.

Do you have a clear understanding of the different types of machine learning algorithms? Do you know what a neural network is and how you can build it? If you want to gather more information about machine learning, deep learning, and neural networks, you have come to the right place.

 Amazon Web Services in Action introduces you to computing, storing, and networking in the AWS cloud. The audiobook will teach you about the most important services on AWS. You will also learn about best practices regarding security, high availability, and scalability.  

A revolution is under way across the globe, yet very few people understand it. Basic Blockchain explains everything you need to know to understand the technology that will soon disrupt and revolutionise everything from financial and health services to the property market and how we vote.

To succeed in today's transforming business world, organizations need business intelligence capabilities to make smarter decisions faster than ever before. This updated second edition of Learn Power BI takes you on a journey of data exploration and discovery.

Work with data like a pro using this guide that breaks down how to organize, apply, and most importantly, understand what you are analyzing in order to become a true data ninja.

The best-selling author of Big Data is back, this time with a unique and in-depth insight into how specific companies use big data. Big data is on the tip of everyone's tongue. Everyone understands its power and importance, but many fail to grasp the actionable steps and resources required to utilise it effectively. This book fills the knowledge gap by showing how major companies are using big data every day, from an up-close, on-the-ground perspective.

Ninety-four percent of consumers will leave a website if it has poor graphic design. Do you want to effortlessly keep an audience’s attention on your data visuals and not their phones? Keep listening.

Data science is one of the most popular, lucrative and highly desirable skill set out there. Learning it—and mastering the craft—is a walk in the park when you have the right guidance.

One key responsibility of product designers and UX practitioners is to conduct formal and informal research to clarify design decisions and business needs. But there’s often mystery around product research, with the feeling that you need to be a research Zen master to gather anything useful. But anyone can conduct product research. With this quick reference guide, you’ll learn a common language and set of tools to help you carry out research in an informed and productive manner.

Until very recently, if you were to ask most doctors, they would tell you there were only two kinds of medicine: the quack kind, and the evidence-based kind. The former is baseless, and the latter based on the best information human effort could buy. Well, Eric Topol isn't most doctors, and he suggests you entertain the notion of a third kind of medicine, one that will make the evidence-based state-of-the-art stuff look scarcely better than an alchemist trying to animate a homunculus in a jar.

Journalists today are inundated with data about which stories attract the most clicks, likes, comments, and shares. These metrics influence what stories are written, how news is promoted, and even which journalists get hired and fired. Do metrics make journalists more accountable to the public? Or are these data tools the contemporary equivalent of a stopwatch wielded by a factory boss, worsening newsroom working conditions and journalism quality?

When it comes to choosing, using, and maintaining a database, understanding its internals is essential. But with so many distributed databases and tools available today, it's often difficult to understand what each one offers. With this practical guide, Alex Petrov guides developers through the concepts behind modern database and storage engine internals.

The discipline of infonomics takes you beyond thinking and talking about information as an asset to actually valuing and treating it as one. Infonomics provides the foundation and methods for quantifying information asset value and tactics for using information as your competitive edge to drive growth.

Info We Trust celebrates data storytelling, as explained by one of the field's most talented creators. Both engineer and artist, R. J. Andrews draws on disciplines from across the human experience to show how to create new ways of seeing the world. And most importantly, to build powerful data-driven information that is worthy of trust.

In industry after industry, data, analytics, and AI-driven processes are transforming the nature of work. While we often still treat AI as the domain of a specific skill, business function, or sector, we have entered a new era in which AI is challenging the very concept of the firm. AI-centric organizations exhibit a new operating architecture, redefining how they create, capture, share, and deliver value.

Data analytics offer an incredible opportunity to predict the future, engage with new technological advancements, and gain valuable insights about your business. But unless you're staying on top of the cutting edge of analytics, your company is wasting that potential-and your competitors will be gaining speed while you fall behind. These articles by experts and consultants will help you understand today's essential thinking about what data analytics are capable of and how to adopt their use in your organization.

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.