Showing results for "Big data" in Science & Engineering

Big data knows where you've been and who your friends are. It knows what you like and what makes you angry. It can predict what you'll buy, where you'll be the victim of crime and when you'll have a heart attack. Big data knows you better than you know yourself, or so it claims. But how well do you know big data? You've probably seen the phrase in newspaper headlines, at work in a marketing meeting, or on a fitness-tracking gadget. But can you understand it without being a Silicon Valley nerd who writes computer programs for fun? Yes. Yes, you can.

In our age of accelerating progress in so many fields, it’s easy to lose sight of the underlying innovation that makes the data analytics revolution possible. These 24 lectures introduce you to the key concepts, methods, and accomplishments of this versatile approach to problem solving. You need no expertise in mathematics to follow this exciting story. Tim Chartier, professor of mathematics and computer science, explains the basic computational techniques used in data analytics, but his focus is on how these ideas are applied and the amazing results they achieve.

Author Martin Kleppmann helps you navigate the diverse data landscape by examining the pros and cons of various technologies for processing and storing data. Software keeps changing, but the fundamental principles remain the same. With this book, software engineers and architects will learn how to apply those ideas in practice, and how to make full use of data in modern applications.

A man shoots down a drone that is flying over his private property. A retail store uses predictive data analytics to send pregnancy-related advertising to a teenager who has not told her parents about her condition. A police officer places a GPS device on a suspected criminal's car to follow him and build a case against him. The news is full of such stories, in which new technologies lead to dilemmas that could not have been imagined just a few decades ago.

Data Science for Dummies is the perfect starting point for IT professionals and students who want a quick primer on all areas of the expansive data science space. With a focus on business cases, the book explores topics in big data, data science, and data engineering, and how these three areas are combined to produce tremendous value. If you want to pick-up the skills you need to begin a new career or initiate a new project, listening to this book will help you understand what technologies, programming languages, and mathematical methods on which to focus.

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.

Expand your skills from being a basic data scientist to becoming an expert data scientist ready to solve real-world data-centric issues. Discover two comprehensive manuscripts in one audiobook.

Explosion of the economic relevance of data is related to: first, technological progress that has drastically reduced the costs of collecting and storing data; second, the advances in analytic techniques that have allowed for more advanced processing to extract greater value from available data. So, more value is extracted from exhausted data. Information generated for one purpose can and should be reused for another one, which means that data moves from primary to secondary uses. Data are more valuable over time.

Do you want to discover all the secrets of Big Data, Deep Learning, and everything in between? Have you ever asked yourself how can artificial intelligences learn from us? Do you want understand how does your smartphone personal assistant can understand you? In this guide, Artus Duval will show you everything you need to know about big data, machine learning, artificial intelligence, and its huge impact on our world; a swell as how to benefit from it 100 percent!

Did you know the value of data usage has increased job opportunities but that there are few specialists? These days, everyone is aware of the role data can play, whether it is an election, business, or education. But how can you start working in a wide interdisciplinary field that is occupied with so much hype? This audiobook presents you with a step-by-step approach to data science as well as secrets only known by the best data scientists.

Il dato è il petrolio del XXI secolo. Grandi compagnie come Facebook, Apple, Amazon, Netflix, Google, Microsoft, Ibm e via elencando, sono tra le società con il maggior valore di capitalizzazione al mondo e continuano a crescere. La data driven economy è una realtà che non riguarda solo le grandi compagnie citate, ma tutti i settori. La consapevolezza che il dato crea un vantaggio competitivo è una realtà per tutte le aziende. Una delle tecnologie che è importante conoscere per chi vuole capire il mondo dei Big Data è Apache Hadoop.

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. From the stock market to genomics laboratories, census figures to marketing email blasts, we are awash with data. But...

This audiobook has lots of valuable, eye-opening information about data analytics, which will help you understand the concept of data mining, data collection, big data analytics for business, and business intelligence concepts. With this audiobook, not only will you understand all the internal nitty-gritties about data analytics, you will also understand why data analytics is changing the business arena. You’ll realize that the high-performance analytics will enable you to do stuff that you never thought about before.

An organization's future success depends on their decision makers' ability to anticipate changes and disruptions in the marketplace. This book provides the information you need to anticipate the future, understand tomorrow's market dynamics, and make the necessary decisions to meet the future on your terms. Small Data, Big Disruptions lets you exploit the period between the moment you could know about emerging disruptions and the moment most everybody will know about it. It's the difference between being ahead of the curve and struggling to catch up.

An eye-opening account of how the data-center boom is pushing our planet past its breaking point Underlying our seamless access to AI, cryptocurrency, and unlimited cloud storage is a hulking, costly physical infrastructure. Massive data centers full of energy-hungry chips and processors power...

Three comprehensive manuscripts in one audiobook. Listen to this audiobook now if you want to learn more about machine learning!

This book on machine learning will explain the concepts, methods, and history behind machine learning. Learn what it is, its importance, history, and much more.

In this book, Michael Smith and Rahul Telang, experts on entertainment analytics, show how the success of House of Cards upended the film and TV industries - and how companies like Amazon and Apple are changing the rules in other entertainment industries, notably publishing and music. We're living through a period of unprecedented technological disruption in the entertainment industries.

In this audiobook, you will have gain tremendous insights, understanding, and basics of Big Data and how it can helps to identify new growth areas and product opportunities, streamline their costs, increase their operating margins, and above all, make better human resource decisions using efficient budgets.

There is no doubt science is currently suffering from a credibility crisis. This thought-provoking book argues that, ironically, science’s credibility is being undermined by tools created by scientists themselves. Scientific disinformation and damaging conspiracy theories are rife because of the Internet that science created, the scientific demand for empirical evidence and statistical significance leads to data torturing and confirmation bias, and data mining is fuelled by the technological advances in Big Data and the development of ever-increasingly powerful computers.