Exploit the power and potential of Big Data to revolutionize business outcomesBig Data Revolution is a guide to improving performance, making better decisions, and transforming business through the effective use of Big Data. In this collaborative work by an IBM Vice President of Big Data Products and an Oxford Research Fellow, this book presents inside stories that demonstrate the power and potential of Big Data within the business realm. Readers are guided through...

Exploit the power and potential of Big Data to revolutionize business outcomesBig Data Revolution is a guide to improving performance, making better decisions, and transforming business through the effective use of Big Data. In this collaborative work by an IBM Vice President of Big Data Products and an Oxford Research Fellow, this book presents inside stories that demonstrate the power and potential of Big Data within the business realm. Listeners are guided through tried-and-true...

**NEW YORK TIMES BESTSELLER • Ted Koppel reveals that a major cyberattack on America’s power grid is not only possible but likely, that it would be devastating, and that the United States is shockingly unprepared.“Fascinating, frightening, and beyond timely.”—Anderson Cooper**Imagine a blackout lasting not days, but weeks or months. Tens of millions of people over several states are affected. For those without access to a generator, there is no running water, no se...

You want to learn Data Analytics FAST but you don’t know where to start? And you don’t have any previous experience?This book is an overview for anyone interested in learning about data analytics.This book covers all aspects of Big Data Analytics in a nutshell. It will give you all the basics, the techniques for data analysis, some algorithms, and a lot more. If you just want to get a very basic idea of data science, then this book is definitely for you. It ...

Much of the data available today is unstructured and text-heavy, making it challenging for analysts to apply their usual data wrangling and visualization tools. With this practical book, you’ll explore text-mining techniques with tidytext, a package that authors Julia Silge and David Robinson developed using the tidy principles behind R packages like ggraph and dplyr. You’ll learn how tidytext and other tidy tools in R can make text analysis easier and more effective....

Utilize R to uncover hidden patterns in your Big Data Key Features\[\* \] Perform computational analyses on Big Data to generate meaningful results\[\*\] Get a practical knowledge of R programming language while working on Big Data platforms like Hadoop, Spark, H2O and SQL/NoSQL databases,\[\*\] Explore fast, streaming, and scalable data analysis with the most cutting-edge technologies in the marketBook DescriptionBig Data an...

THE MOST PRACTICAL, COMPREHENSIVE GUIDE TO THE PLANNING, DESIGN, AND MANAGEMENT OF AIRPORTS--UPDATED BY LEADING PROFESSIONALS"With the accelerated rate of change occurring throughout the aviation industry, this edition is a timely and very effective resource for ensuring both airport professionals and those interested in airports acquire a comprehensive understanding of the changes taking place, and how they impact airports and the communities they serve. A must read." -...

New global standards are the basis for new MES products that have appeared in the last five years in the marketplaceFeatures a comprehensive presentation of available MES technologies

Until recently, many people thought big data was a passing fad. "Data science" was an enigmatic term. Today, big data is taken seriously, and data science is considered downright sexy. With this anthology of reports from award-winning journalist Mike Barlow, you’ll appreciate how data science is fundamentally altering our world, for better and for worse.Barlow paints a picture of the emerging data space in broad strokes. From new techniques and tools to the use of data for social g...

How do you take your data analysis skills beyond Excel to the next level? By learning just enough Python to get stuff done. This hands-on guide shows non-programmers like you how to process information that’s initially too messy or difficult to access. You don't need to know a thing about the Python programming language to get started.Through various step-by-step exercises, you’ll learn how to acquire, clean, analyze, and present data efficiently. You’ll also discover how to automa...

Explore the world of data science through Python and learn how to make sense of data Key FeaturesMaster data science methods using Python and its librariesCreate data visualizations and mine for patternsAdvanced techniques for the four fundamentals of Data Science with Python - data mining, data analysis, data visualization, and machine learningBook DescriptionData science is a relatively new knowledge domain which is used by...

Over 60 practical recipes on data exploration and analysisKey Features\[\] Clean dirty data, extract accurate information, and explore the relationships between variables\[\] Forecast the output of an electric plant and the water flow of American rivers using pandas, NumPy, Statsmodels, and scikit-learn\[\] Find and extract the most important features from your dataset using the most efficient Python librariesBook Description...