Man vs Big Data

Everyday data explained

Author: Stewart Cowley

Publisher: Aurum Press Limited

ISBN: 1781317569

Category: Mathematics

Page: 224

View: 5058

Have you ever wondered how to beat the bookies? How does your computer know you might like this song? Should you be worried about this?... We can’t answer that for you, but Man vs Big Data does explore the numerous ways in which ‘Big Data’ has, sometimes imperceptibly, infiltrated our lives. Everything we do leaves a trail of data behind, from buying something on a credit card, to using a GPS-enabled mobile phone – whether you know it or not, like it or not, Big Data is now a part of modern life. Heralded as the Fourth Industrial Revolution, it is now more crucial than ever to learn about how data is affecting the way we live. Man vs Big Data proves that this topic is one of the most important subjects facing us today and helps you get to grips with what that means for you.

Man vs Mind

Everyday Psychology Explained

Author: Daniel Richardson

Publisher: Aurum Press Limited

ISBN: 178131764X

Category: Psychology

Page: 224

View: 6127

Where do our thoughts come from? Do we all see the same blue? And how much is our eye really like a camera? The tool that sets humans apart from the rest of the animal kingdom, and the most crucial part of our very being – but what actually is it? From trying to decide whether or not we’re robots, understanding why some people commit acts of violence, to figuring out the art of persuasion; this essential guide to the inner workings of our minds explores the questions we really want to know the answers to. Making the complex comprehensible, Daniel Richardson provides a new insight into how our minds work and the role they play in modern life. Whether it’s pondering over why you’re usually right about everything, or discovering colour; Man vs Mind shows that you don’t need to be a psychologist to understand more about what’s going on up there.

Big Data

A Revolution That Will Transform How We Live, Work, and Think

Author: Viktor Mayer-Schönberger,Kenneth Cukier

Publisher: Houghton Mifflin Harcourt

ISBN: 0544002938

Category: Business & Economics

Page: 240

View: 1226

A revelatory exploration of the hottest trend in technology and the dramatic impact it will have on the economy, science, and society at large. Which paint color is most likely to tell you that a used car is in good shape? How can officials identify the most dangerous New York City manholes before they explode? And how did Google searches predict the spread of the H1N1 flu outbreak? The key to answering these questions, and many more, is big data. “Big data” refers to our burgeoning ability to crunch vast collections of information, analyze it instantly, and draw sometimes profoundly surprising conclusions from it. This emerging science can translate myriad phenomena—from the price of airline tickets to the text of millions of books—into searchable form, and uses our increasing computing power to unearth epiphanies that we never could have seen before. A revolution on par with the Internet or perhaps even the printing press, big data will change the way we think about business, health, politics, education, and innovation in the years to come. It also poses fresh threats, from the inevitable end of privacy as we know it to the prospect of being penalized for things we haven’t even done yet, based on big data’s ability to predict our future behavior. In this brilliantly clear, often surprising work, two leading experts explain what big data is, how it will change our lives, and what we can do to protect ourselves from its hazards. Big Data is the first big book about the next big thing. www.big-data-book.com

Big Data at Work

Dispelling the Myths, Uncovering the Opportunities

Author: Thomas Davenport

Publisher: Harvard Business Review Press

ISBN: 1422168166

Category: Business & Economics

Page: 240

View: 7716

Go ahead, be skeptical about big data. The author was—at first. When the term “big data” first came on the scene, bestselling author Tom Davenport (Competing on Analytics, Analytics at Work) thought it was just another example of technology hype. But his research in the years that followed changed his mind. Now, in clear, conversational language, Davenport explains what big data means—and why everyone in business needs to know about it. Big Data at Work covers all the bases: what big data means from a technical, consumer, and management perspective; what its opportunities and costs are; where it can have real business impact; and which aspects of this hot topic have been oversold. This book will help you understand: • Why big data is important to you and your organization • What technology you need to manage it • How big data could change your job, your company, and your industry • How to hire, rent, or develop the kinds of people who make big data work • The key success factors in implementing any big data project • How big data is leading to a new approach to managing analytics With dozens of company examples, including UPS, GE, Amazon, United Healthcare, Citigroup, and many others, this book will help you seize all opportunities—from improving decisions, products, and services to strengthening customer relationships. It will show you how to put big data to work in your own organization so that you too can harness the power of this ever-evolving new resource.

Data Smart

Using Data Science to Transform Information into Insight

Author: John W. Foreman

Publisher: John Wiley & Sons

ISBN: 1118839862

Category: Business & Economics

Page: 432

View: 5010

Data Science gets thrown around in the press like it's magic. Major retailers are predicting everything from when their customers are pregnant to when they want a new pair of Chuck Taylors. It's a brave new world where seemingly meaningless data can be transformed into valuable insight to drive smart business decisions. But how does one exactly do data science? Do you have to hire one of these priests of the dark arts, the "data scientist," to extract this gold from your data? Nope. Data science is little more than using straight-forward steps to process raw data into actionable insight. And in Data Smart, author and data scientist John Foreman will show you how that's done within the familiar environment of a spreadsheet. Why a spreadsheet? It's comfortable! You get to look at the data every step of the way, building confidence as you learn the tricks of the trade. Plus, spreadsheets are a vendor-neutral place to learn data science without the hype. But don't let the Excel sheets fool you. This is a book for those serious about learning the analytic techniques, the math and the magic, behind big data. Each chapter will cover a different technique in a spreadsheet so you can follow along: Mathematical optimization, including non-linear programming and genetic algorithms Clustering via k-means, spherical k-means, and graph modularity Data mining in graphs, such as outlier detection Supervised AI through logistic regression, ensemble models, and bag-of-words models Forecasting, seasonal adjustments, and prediction intervals through monte carlo simulation Moving from spreadsheets into the R programming language You get your hands dirty as you work alongside John through each technique. But never fear, the topics are readily applicable and the author laces humor throughout. You'll even learn what a dead squirrel has to do with optimization modeling, which you no doubt are dying to know.

Data Strategy

How to Profit from a World of Big Data, Analytics and the Internet of Things

Author: Bernard Marr

Publisher: Kogan Page Publishers

ISBN: 0749479868

Category: Business & Economics

Page: 200

View: 632

Less than 0.5 per cent of all data is currently analysed and used. However, business leaders and managers cannot afford to be unconcerned or sceptical about data. Data is revolutionizing the way we work and it is the companies that view data as a strategic asset that will survive and thrive. Bernard Marr's Data Strategy is a must-have guide to creating a robust data strategy. Explaining how to identify your strategic data needs, what methods to use to collect the data and, most importantly, how to translate your data into organizational insights for improved business decision-making and performance, this is essential reading for anyone aiming to leverage the value of their business data and gain competitive advantage. Packed with case studies and real-world examples, advice on how to build data competencies in an organization and crucial coverage of how to ensure your data doesn't become a liability, Data Strategy will equip any organization with the tools and strategies it needs to profit from big data, analytics and the Internet of Things.

Actionable Intelligence

A Guide to Delivering Business Results with Big Data Fast!

Author: Keith B. Carter

Publisher: John Wiley & Sons

ISBN: 1118920651

Category: Business & Economics

Page: 224

View: 5902

Building an analysis ecosystem for a smarter approach to intelligence Keith Carter's Actionable Intelligence: A Guide to Delivering Business Results with Big Data Fast! is the comprehensive guide to achieving the dream that business intelligence practitioners have been chasing since the concept itself came into being. Written by an IT visionary with extensive global supply chain experience and insight, this book describes what happens when team members have accurate, reliable, usable, and timely information at their fingertips. With a focus on leveraging big data, the book provides expert guidance on developing an analytical ecosystem to effectively manage, use the internal and external information to deliver business results. This book is written by an author who's been in the trenches for people who are in the trenches. It's for practitioners in the real world, who know delivering results is easier said than done – fraught with failure, and difficult politics. A landscape where reason and passion are needed to make a real difference. This book lays out the appropriate way to establish a culture of fact-based decision making, innovation, forward looking measurements, and appropriate high-speed governance. Readers will enable their organization to: Answer strategic questions faster Reduce data acquisition time and increase analysis time to improve outcomes Shift the focus to positive results rather than past failures Expand opportunities by more effectively and thoughtfully leveraging information Big data makes big promises, but it cannot deliver without the right recipe of people, processes and technology in place. It's about choosing the right people, giving them the right tools, and taking a thoughtful—rather than formulaic--approach. Actionable Intelligence provides expert guidance toward envisioning, budgeting, implementing, and delivering real benefits.

Everybody Lies

Big Data, New Data, and What the Internet Can Tell Us About Who We Really Are

Author: Seth Stephens-Davidowitz

Publisher: HarperCollins

ISBN: 0062390872

Category: Social Science

Page: 352

View: 3813

Foreword by Steven Pinker Blending the informed analysis of The Signal and the Noise with the instructive iconoclasm of Think Like a Freak, a fascinating, illuminating, and witty look at what the vast amounts of information now instantly available to us reveals about ourselves and our world—provided we ask the right questions. By the end of an average day in the early twenty-first century, human beings searching the internet will amass eight trillion gigabytes of data. This staggering amount of information—unprecedented in history—can tell us a great deal about who we are—the fears, desires, and behaviors that drive us, and the conscious and unconscious decisions we make. From the profound to the mundane, we can gain astonishing knowledge about the human psyche that less than twenty years ago, seemed unfathomable. Everybody Lies offers fascinating, surprising, and sometimes laugh-out-loud insights into everything from economics to ethics to sports to race to sex, gender and more, all drawn from the world of big data. What percentage of white voters didn’t vote for Barack Obama because he’s black? Does where you go to school effect how successful you are in life? Do parents secretly favor boy children over girls? Do violent films affect the crime rate? Can you beat the stock market? How regularly do we lie about our sex lives and who’s more self-conscious about sex, men or women? Investigating these questions and a host of others, Seth Stephens-Davidowitz offers revelations that can help us understand ourselves and our lives better. Drawing on studies and experiments on how we really live and think, he demonstrates in fascinating and often funny ways the extent to which all the world is indeed a lab. With conclusions ranging from strange-but-true to thought-provoking to disturbing, he explores the power of this digital truth serum and its deeper potential—revealing biases deeply embedded within us, information we can use to change our culture, and the questions we’re afraid to ask that might be essential to our health—both emotional and physical. All of us are touched by big data everyday, and its influence is multiplying. Everybody Lies challenges us to think differently about how we see it and the world.

Hadoop Explained

Author: Aravind Shenoy

Publisher: Packt Publishing Ltd

ISBN: 1783552646

Category: Computers

Page: 25

View: 4982

With the almost unfathomable increase in web traffic over recent years, driven by millions of connected users, businesses are gaining access to massive amounts of complex, unstructured data from which to gain insight. When Hadoop was introduced by Yahoo in 2007, it brought with it a paradigm shift in how this data was stored and analysed. Hadoop allowed small and medium sized companies to store huge amounts of data on cheap commodity servers in racks. The introduction of Big Data has allowed businesses to make decisions based on quantifiable analysis. Hadoop is now implemented in major organizations such as Amazon, IBM, Cloudera, and Dell to name a few. This book introduces you to Hadoop and to concepts such as ‘MapReduce’, ‘Rack Awareness’, ‘Yarn’ and ‘HDFS Federation’, which will help you get acquainted with the technology.

Data Crush

How the Information Tidal Wave Is Driving New Business Opportunities

Author: Christopher Surdak

Publisher: AMACOM

ISBN: 0814433758

Category: Business & Economics

Page: 288

View: 7011

The Internet used to be a tool for telling your customers about your business. Now its real value lies in what it tells you about them. Every move your customers make online can be tracked, catalogued, and analyzed to better understand their preferences and predict their future behavior. And with mobile technology like smartphones, customers are online almost every second of every day. The companies that succeed going forward will be those that learn to leverage this torrent of information-without being drowned by it. Balancing examples from giants like Amazon, Home Depot, and Ford with newer players like Rovio, Groupon, and scores of niche-market winners, Data Crush examines the forces behind the explosive growth in data and reveals how the most innovative companies are responding to this challenge. The book clarifies the key drivers: the proliferation of "big data" generated by a never-ending range of online activities (and the mobility that enables much of it); the seemingly infinite array of digital commerce and entertainment pathways; and the rising growth of Cloud computing. These and other factors combine to create an overwhelming universe of valuable information-all constantly updated in real time with billions of mouse clicks each day. It's daunting, but with this onslaught of information comes tremendous opportunity-and Data Crush will help you make sense of it all.

Designing Great Data Products

Author: Jeremy Howard,Margit Zwemer,Mike Loukides

Publisher: "O'Reilly Media, Inc."

ISBN: 1449333680

Category: Computers

Page: 23

View: 3321

In the past few years, we’ve seen many data products based on predictive modeling. These products range from weather forecasting to recommendation engines like Amazon's. Prediction technology can be interesting and mathematically elegant, but we need to take the next step: going from recommendations to products that can produce optimal strategies for meeting concrete business objectives. We already know how to build these products: they've been in use for the past decade or so, but they're not as common as they should be. This report shows how to take the next step: to go from simple predictions and recommendations to a new generation of data products with the potential to revolutionize entire industries.

Man vs Maths

Understanding the curious mathematics that power our world

Author: Timothy Revell

Publisher: Aurum Press Limited

ISBN: 178131621X

Category: Mathematics

Page: 224

View: 1131

Could we solve queuing with an equation? How do algorithms control our news? What is the secret behind encryption codes? Mathematics is inescapable. Wherever you go, whatever you do, however you live your life, mathematics plays a role. From controlling a city’s traffic to finding love, spending money online to building a skyscraper, the mathematics at play in our world is fascinating. Yet despite its ubiquity, for many of us, how the maths of today really works remains complex. Timothy Revell distils these complexities in this essential guide to modern-day mathematics. Along the way we discover how social media trends work, why the universe has a favourite number and what this means for you. Man vs Maths shows you how understanding a little more mathematics can help improve your life.

Analytics in a Big Data World

The Essential Guide to Data Science and its Applications

Author: Bart Baesens

Publisher: John Wiley & Sons

ISBN: 1118892747

Category: Business & Economics

Page: 256

View: 8660

The guide to targeting and leveraging business opportunities using big data & analytics By leveraging big data & analytics, businesses create the potential to better understand, manage, and strategically exploiting the complex dynamics of customer behavior. Analytics in a Big Data World reveals how to tap into the powerful tool of data analytics to create a strategic advantage and identify new business opportunities. Designed to be an accessible resource, this essential book does not include exhaustive coverage of all analytical techniques, instead focusing on analytics techniques that really provide added value in business environments. The book draws on author Bart Baesens' expertise on the topics of big data, analytics and its applications in e.g. credit risk, marketing, and fraud to provide a clear roadmap for organizations that want to use data analytics to their advantage, but need a good starting point. Baesens has conducted extensive research on big data, analytics, customer relationship management, web analytics, fraud detection, and credit risk management, and uses this experience to bring clarity to a complex topic. Includes numerous case studies on risk management, fraud detection, customer relationship management, and web analytics Offers the results of research and the author's personal experience in banking, retail, and government Contains an overview of the visionary ideas and current developments on the strategic use of analytics for business Covers the topic of data analytics in easy-to-understand terms without an undo emphasis on mathematics and the minutiae of statistical analysis For organizations looking to enhance their capabilities via data analytics, this resource is the go-to reference for leveraging data to enhance business capabilities.

Internet of Things and Big Data Analysis: Recent Trends and Challenges

Author: Ali Al-Sabbagh

Publisher: N.A

ISBN: 9780692809921

Category:

Page: 304

View: 6269

Chapter One: Overview of Internet of Things (IoT): This chapter describes the definition of IoT. The term Internet of Things (IoT) or Internet of Everything (IoE) is still ambiguous. There is no single unified definition of what it really is. However, it can be defined by elaborating what it can provide. The Internet of Things is thought to be the next evolution of the Internet as it provides a networking infrastructure allowing for trillions of devices to collect data and communicate with each other to make processed smart decisions. Chapter Two: Challenges and Applications of (IoT): This chapter discusses some of the major IoT applications that have the potential to bring transformation in our future trends. The rapid development of these applications is expected to face numerous challenges. This chapter brings key challenges into focus and discusses potential barriers that could impede the rapid adoption of IoT. Chapter Three: Explosion of Data (Big Data): This chapter elaborates on data management, which requires the process of transferring data in an efficient way, upon the user's demand. Therefore, the right data must reach the right user at the right time, in order to be valuable. Data comes from many different sources, i.e. web apps, sensor networks and many others. This data needs to be collected, categorized, stored, and analyzed in order to get an insight of its content and hence present it in an efficient way. Chapter Four: Boosted Prediction Analysis for Big Data: Prediction techniques represent a useful tool for knowledge discovery in a massive and complex healthcare dataset. In this chapter, a prediction model has been designed and implemented which analyzes medical records of patients and provides information for decision making in health institutes. The proposed model consists of three primary stages, the first being preprocessing data that focuses on preparing the information for the mining process. Chapter Five: IoT Security: This chapter outlines existing security approaches being used for IoT, together with the weaknesses they inherit. Since the security of IoT communications could be addressed in the context of the communication protocol itself, we focus on existing protocols and mechanisms used to secure communications involved in this vital subject. Chapter Six: Threat Taxonomy for Cloud of Things: In this chapter we present a comprehensive threat model which is then utilized to create a first-ever threat taxonomy for the Cloud of Things. This taxonomy outlines different security and privacy threats faced by this nascent technology and can be used as the basis for further research on security and privacy in the Cloud of Things. Chapter Seven: Smart Homes Based On Smart Cities' Design Patterns: This chapter reviews smart cities for the Internet of Things. It discusses maximizing the efficiency of distribution and consumption of energy from one point of view and a vision for smart cities in the future from another point of view. Moreover, it presents the design for a smart home and ends up with a proposed system, as a case study. Chapter Eight: Social-Sensor Networks: This chapter deals with the integration of Wireless Sensor Networks (WSNs) and Social Networks. Nowadays, WSNs have caused a paradigm shift in our society. They have become a popular mean of communication among people. Many aspects of our lives are significantly related to the WSNs, such as communication, transportation, military, and agriculture. Chapter Nine: 5G Driving Global IoT: This chapter explores the IoT literature in terms of the communication technology involved: 4G-LTE-A. Additionally, an outline for improving the IoT of future keys in current cellular systems is discussed. This work exhibits how the current 4G LTE-A frameworks can contribute to the design of smart cities. Furthermore, an overview of 4G and 5G is presented.

Man vs Maths

Everyday mathematics explained

Author: Timothy Revell

Publisher: Aurum Press

ISBN: 9781781316900

Category: Mathematics

Page: 208

View: 8352

What is the mathematics behind a twitter trend? Does my food really have an equation? And, is there really an algorithm for Love? Mathematics is inescapable. Wherever you go, whatever you do, however you live your life, mathematics plays a role. From searching for love to donating a kidney, the mathematics governing our world is fascinating, and far reaching. Using interesting anecdotes, simple analogies, and easy explanations, Man vs Maths will distill the complexities of some of the most absorbing mathematics of modern life. Along the way we will look at why Netflix offered a $1 million prize for help with their mathematics, why the universe has a favourite number, and how knowing a little mathematics can improve your life.

Data Science and Big Data Analytics

Discovering, Analyzing, Visualizing and Presenting Data

Author: EMC Education Services

Publisher: John Wiley & Sons

ISBN: 1118876059

Category: Computers

Page: 432

View: 8258

Data Science and Big Data Analytics is about harnessing the power of data for new insights. The book covers the breadth of activities and methods and tools that Data Scientists use. The content focuses on concepts, principles and practical applications that are applicable to any industry and technology environment, and the learning is supported and explained with examples that you can replicate using open-source software. This book will help you: Become a contributor on a data science team Deploy a structured lifecycle approach to data analytics problems Apply appropriate analytic techniques and tools to analyzing big data Learn how to tell a compelling story with data to drive business action Prepare for EMC Proven Professional Data Science Certification Corresponding data sets are available at www.wiley.com/go/9781118876138. Get started discovering, analyzing, visualizing, and presenting data in a meaningful way today!

Weapons of Math Destruction

How Big Data Increases Inequality and Threatens Democracy

Author: Cathy O'Neil

Publisher: Crown Books

ISBN: 0553418815

Category: Big data

Page: 259

View: 8427

"A former Wall Street quantitative analyst sounds an alarm on mathematical modeling, a pervasive new force in society that threatens to undermine democracy and widen inequality, "--NoveList.

Big Data Baseball

Math, Miracles, and the End of a 20-Year Losing Streak

Author: Travis Sawchik

Publisher: Flatiron Books

ISBN: 1250063515

Category: Sports & Recreation

Page: 256

View: 2905

New York Times Bestseller After twenty consecutive losing seasons for the Pittsburgh Pirates, team morale was low, the club's payroll ranked near the bottom of the sport, game attendance was down, and the city was becoming increasingly disenchanted with its team. Pittsburghers joked their town was the city of champions...and the Pirates. Big Data Baseball is the story of how the 2013 Pirates, mired in the longest losing streak in North American pro sports history, adopted drastic big-data strategies to end the drought, make the playoffs, and turn around the franchise's fortunes. Award-winning journalist Travis Sawchik takes you behind the scenes to expertly weave together the stories of the key figures who changed the way the small-market Pirates played the game. For manager Clint Hurdle and the front office staff to save their jobs, they could not rely on a free agent spending spree, instead they had to improve the sum of their parts and find hidden value. They had to change. From Hurdle shedding his old-school ways to work closely with Neal Huntington, the forward-thinking data-driven GM and his team of talented analysts; to pitchers like A. J. Burnett and Gerrit Cole changing what and where they threw; to Russell Martin, the undervalued catcher whose expert use of the nearly-invisible skill of pitch framing helped the team's pitchers turn more balls into strikes; to Clint Barmes, a solid shortstop and one of the early adopters of the unconventional on-field shift which forced the entire infield to realign into positions they never stood in before. Under Hurdle's leadership, a culture of collaboration and creativity flourished as he successfully blended whiz kid analysts with graybeard coaches—a kind of symbiotic teamwork which was unique to the sport. Big Data Baseball is Moneyball on steroids. It is an entertaining and enlightening underdog story that uses the 2013 Pirates season as the perfect lens to examine the sport's burgeoning big-data movement. With the help of data-tracking systems like PitchF/X and TrackMan, the Pirates collected millions of data points on every pitch and ball in play to create a tome of color-coded reports that revealed groundbreaking insights for how to win more games without spending a dime. In the process, they discovered that most batters struggled to hit two-seam fastballs, that an aggressive defensive shift on the field could turn more batted balls into outs, and that a catcher's most valuable skill was hidden. All these data points which aren't immediately visible to players and spectators, are the bit of magic that led the Pirates to spin straw in to gold, finish the 2013 season in second place, end a twenty-year losing streak.

Reinventing Capitalism in the Age of Big Data

Author: Viktor Mayer-Schönberger,Thomas Ramge

Publisher: Basic Books

ISBN: 0465093698

Category: Business & Economics

Page: 288

View: 9527

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-Schönberger, bestselling author of Big Data, and Thomas Ramge, who writes for The Economist, show, data is replacing money as the driver of market behavior. Big finance and big companies will be replaced by small groups and individual actors who make markets instead of making things: think Uber instead of Ford, or Airbnb instead of Hyatt. This is the dawn of the era of data capitalism. Will it be an age of prosperity or of calamity? This book provides the indispensable roadmap for securing a better future.

Numsense! Data Science for the Layman

No Math Added

Author: Annalyn Ng

Publisher: Annalyn Ng & Kenneth Soo

ISBN: 9789811110689

Category:

Page: N.A

View: 2155

Used in Stanford's CS102 Big Data (Spring 2017) course. Want to get started on data science? Our promise: no math added. This book has been written in layman's terms as a gentle introduction to data science and its algorithms. Each algorithm has its own dedicated chapter that explains how it works, and shows an example of a real-world application. To help you grasp key concepts, we stick to intuitive explanations, as well as lots of visuals, all of which are colorblind-friendly. Popular concepts covered include: A/B Testing Anomaly Detection Association Rules Clustering Decision Trees and Random Forests Regression Analysis Social Network Analysis Neural Networks Features: Intuitive explanations and visuals Real-world applications to illustrate each algorithm Point summaries at the end of each chapter Reference sheets comparing the pros and cons of algorithms Glossary list of commonly-used terms With this book, we hope to give you a practical understanding of data science, so that you, too, can leverage its strengths in making better decisions.