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

https://www.amazon.com/Big-Data-Revolution-Transform-Think-e...
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.
Published by: Eamon Dolan/Houghton Mifflin Harcourt | Publication date: 03/05/2013
Kindle book details: Kindle Edition, 257 pages

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

https://www.amazon.com/Everybody-Lies-Internet-About-Really-...
Foreword by Steven PinkerBlending 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.
Published by: Dey Street Books | Publication date: 05/09/2017
Kindle book details: Kindle Edition, 357 pages

Big Data: 4 Manuscripts – Data Analytics for Beginners, Deep Learning with Keras, Analyzing Data with Power BI, Convolutional Neural Networks in Python

https://www.amazon.com/Big-Data-Manuscripts-Analytics-Convol...
Big Data - 4 book BUNDLE!!Book 1: Data Analytics for BeginnersIn this book you will learn:
  • Putting Data Analytics to Work
  • The Rise of Data Analytics
  • Big Data Defined
  • Cluster Analysis
  • Applications of Cluster Analysis
  • Commonly Graphed Information
  • Data Visualization
  • Four Important Features of Data Visualization Software
  • Big Data Impact Envisaged by 2020
  • Pros and Cons of Big Data Analytics
  • And of course much more!
Book 2: Deep Learning with KerasIn this book you will learn:
  • Deep Neural Network
  • Neural Network Elements
  • Keras Models
  • Sequential Model
  • Functional API Model
  • Keras Layers
  • Core Keras Layers
  • Convolutional Keras Layers
  • Recurrent Keras Layers
  • Deep Learning Algorithms
  • Supervised Learning Algorithms
  • Applications of Deep Learning Models
  • Automatic Speech and Image Recognition
  • Natural Language Processing
  • Video Game Development
  • Real World Applications
  • And of course much more!
Book 3: Analyzing Data with Power BIIn this book you will learn:
  • Basics of data analysis processes
  • Fundamental data analysis algorithms
  • Basic of data and text mining, data visualization and business intelligence
  • Techniques used for analysing quantitative data
  • Basic data analysis tasks
  • Conceptual, logical and physical data models
  • Power BI service and data modelling
  • Creating reports and visualizations in Power BI
  • Data transformation and data cleaning in Power BI
  • Real world applications of data analysis
Book 4: Convolutional Neural Networks in PythonIn this book you will learn:
  • Architecture of convolutional neural networks
  • Solving computer vision tasks using convolutional neural networks
  • Python and computer vision
  • Automatic image and speech recognition
  • Theano and TenroeFlow image recognition
  • How to use MNIST vision dataset
  • What are commonly used convolutional filters
Download this book bundle NOW and SAVE money!!Buy the Paperback version AND get this ebook bundle for FREE!!
Publication date: 08/09/2017
Kindle book details: Kindle Edition, 346 pages

Big Data For Dummies

https://www.amazon.com/Big-Data-Dummies-Judith-Hurwitz-ebook...
Find the right big data solution for your business or organization Big data management is one of the major challenges facing business, industry, and not-for-profit organizations. Data sets such as customer transactions for a mega-retailer, weather patterns monitored by meteorologists, or social network activity can quickly outpace the capacity of traditional data management tools. If you need to develop or manage big data solutions, you'll appreciate how these four experts define, explain, and guide you through this new and often confusing concept. You'll learn what it is, why it matters, and how to choose and implement solutions that work.
  • Effectively managing big data is an issue of growing importance to businesses, not-for-profit organizations, government, and IT professionals
  • Authors are experts in information management, big data, and a variety of solutions
  • Explains big data in detail and discusses how to select and implement a solution, security concerns to consider, data storage and presentation issues, analytics, and much more
  • Provides essential information in a no-nonsense, easy-to-understand style that is empowering
Big Data For Dummies cuts through the confusion and helps you take charge of big data solutions for your organization.
Published by: For Dummies | Publication date: 04/02/2013
Kindle book details: Kindle Edition, 336 pages

Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems

https://www.amazon.com/Designing-Data-Intensive-Applications...
Data is at the center of many challenges in system design today. Difficult issues need to be figured out, such as scalability, consistency, reliability, efficiency, and maintainability. In addition, we have an overwhelming variety of tools, including relational databases, NoSQL datastores, stream or batch processors, and message brokers. What are the right choices for your application? How do you make sense of all these buzzwords?In this practical and comprehensive guide, author Martin Kleppmann helps you navigate this diverse 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.
  • Peer under the hood of the systems you already use, and learn how to use and operate them more effectively
  • Make informed decisions by identifying the strengths and weaknesses of different tools
  • Navigate the trade-offs around consistency, scalability, fault tolerance, and complexity
  • Understand the distributed systems research upon which modern databases are built
  • Peek behind the scenes of major online services, and learn from their architectures
Published by: O'Reilly Media | Publication date: 03/16/2017
Kindle book details: Kindle Edition, 614 pages

DATA ANALYTICS Beginners Guide: Dive Into The Heart Of Big Data, Its Techniques And Solutions.

https://www.amazon.com/DATA-ANALYTICS-Beginners-Guide-Techni...
Big data concept has been around for several years, and most organizations have come to understand that, when they capture data flowing into their business through different streams when they apply data analytics, they can derive value from it. But in the 1950’s, decades before the term Big Data became popular, basic analytics was done by businesses, this included the use of a spreadsheet to manually examine data to derive trends and insights.Big data analytics bring to the table a whole new level of efficiency and speed. In the recent past, businesses would gather information, run analytics on it and discover information that could help make business decisions for the future. Today, insights can be made by a business, to make an immediate decision. The ability to have efficient processes and stay consistent and innovative provides organizations an edge that they never had before.
Author: Ronald Davis
Publication date: 09/02/2017
Kindle book details: Kindle Edition, 88 pages

Data Analytics Made Accessible: 2017 edition

https://www.amazon.com/Data-Analytics-Made-Accessible-2017-e...
This book fills the need for a concise and conversational book on the growing field of Data Science. Easy to read and informative, this lucid book covers everything important, with concrete examples, and invites the reader to join this field. The chapters in the book are organized for a typical one-semester course. The book contains case-lets from real-world stories at the beginning of every chapter. There is also a running case study across the chapters as exercises. This book is designed to provide a student with the intuition behind this evolving area, along with a solid toolset of the major data mining techniques and platforms. Finally, it includes a tutorial for R platform.The book has proved very popular throughout the world. Many universities in the US, and around the world, have adopted it as a textbook for their courses. This 2017 edition has added four new chapters in response to the thoughts and suggestions expressed by many reviewers. Students across a variety of academic disciplines, including business, computer science, statistics, engineering, and others attracted to the idea of discovering new insights and ideas from data can use this as a textbook. Professionals in various domains, including executives, managers, analysts, professors, doctors, accountants, and others can use this book to learn in a few hours how to make sense of and develop actionable insights from the enormous data coming their way. This is a flowing book that one can finish in one sitting, or one can return to it again and again for insights and techniques.Table of ContentsChapter 1: Wholeness of Data AnalyticsChapter 2: Business Intelligence Concepts & ApplicationsChapter 3: Data WarehousingChapter 4: Data MiningChapter 5: Data VisualizationChapter 6: Decision TreesChapter 7: Regression ModelsChapter 8: Artificial Neural NetworksChapter 9: Cluster Analysis Chapter 10: Association Rule Mining Chapter 11: Text MiningChapter 12: Naïve Bayes AnalysisChapter 13: Support Vector MachinesChapter 14: Web MiningChapter 15: Social Network AnalysisChapter 16: Big DataChapter 17: Data Modeling PrimerChapter 18: Statistics PrimerChapter 19: Data Science CareersAppendix: Data Mining Tutorial using R
Publication date: 05/01/2014
Kindle book details: Kindle Edition, 156 pages

Data Analytics: A Practical Guide To Data Analytics For Business, Beginner To Expert(Data Analytics, Prescriptive Analytics, Statistics, Big Data, Intelligence, ... Master Data, Data Science, Data Mining)

https://www.amazon.com/Data-Analytics-Prescriptive-Statistic...
Understand Data Analytics and Implement it in Your Business Today Do you want improve your revenue and stop missing out on profit? Do you want to learn about how data analytics in a style and approach that is suitable for you, regardless of your current knowledge?This book not only provides step-by-step guide to data analytics, but teaches you actionable steps to improve your analysis in all environments! Are you ready to learn?If so, Data Analytics: Practical Guide To Data Analytics For Business, Beginner To Expert(Data Analytics, Prescriptive Analytics, Statistics, Big Data, Intelligence, Master Data, Data Science, Data Mining).by James Fahl is THE book for you! It covers the most essential topics you must learn to become a master of Data Analytics.What Separates This Book From The Rest?What separates this book from the rest? The unique way you will learn with examples and steps. Many books leave you more confused than before you picked them up, not this book, it’s clear concise and implementable. We make it our goal to write this book in plain easy to understand English that anyone can understand. Gone are the days of highly technical language. This allows you to quickly learn topics, and use your new skills immediately.To aid you in learning the topics quickly and effectively this book has been designed to be the ultimate step-by-step guide. Making sure that you’re confident and clear with each topic before moving on! You Will Learn The Following:
  • What is Data Analytics?
  • Why use Data Analytics
  • The importance of Data Analytics
  • Types of Data Analytics
  • Explanations of Different models
  • Collecting Data
  • Mistakes to avoid
Whether you just want to learn more about Data Analysis or already know but want a step-by-step guide to implement it in your life, this is the book for you!So don’t delay it any longer. Take this opportunity and invest in your self by buying this guide now.You will be shocked by how fast you learn about Data Analytics! Don’t Delay And Scroll Up To Buy With 1 Click
Author: James Fahl
Publication date: 06/04/2017
Kindle book details: Kindle Edition, 50 pages

Data Science for Business: What You Need to Know about Data Mining and Data-Analytic Thinking

https://www.amazon.com/Data-Science-Business-Data-Analytic-T...
Written by renowned data science experts Foster Provost and Tom Fawcett, Data Science for Business introduces the fundamental principles of data science, and walks you through the "data-analytic thinking" necessary for extracting useful knowledge and business value from the data you collect. This guide also helps you understand the many data-mining techniques in use today.Based on an MBA course Provost has taught at New York University over the past ten years, Data Science for Business provides examples of real-world business problems to illustrate these principles. You’ll not only learn how to improve communication between business stakeholders and data scientists, but also how participate intelligently in your company’s data science projects. You’ll also discover how to think data-analytically, and fully appreciate how data science methods can support business decision-making.
  • Understand how data science fits in your organization—and how you can use it for competitive advantage
  • Treat data as a business asset that requires careful investment if you’re to gain real value
  • Approach business problems data-analytically, using the data-mining process to gather good data in the most appropriate way
  • Learn general concepts for actually extracting knowledge from data
  • Apply data science principles when interviewing data science job candidates
Published by: O'Reilly Media | Publication date: 07/27/2013
Kindle book details: Kindle Edition, 414 pages

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

https://www.amazon.com/Data-Strategy-Profit-Analytics-Intern...
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.
Author: Bernard Marr
Published by: Kogan Page | Publication date: 04/03/2017
Kindle book details: Kindle Edition, 1 pages
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