An audacious, irreverent investigation of human behavior—and a first look at a revolution in the making
Our personal data has been used to spy on us, hire and fire us, and sell us stuff we don’t need. In Dataclysm, Christian Rudder uses it to show us who we truly are.
For centuries, we’ve relied on polling or small-scale lab experiments to study human behavior. Today, a new approach is possible. As we live more of our lives online, researchers can finally observe us directly, in vast numbers, and without filters. Data scientists have become the new demographers.
In this daring and original book, Rudder explains how Facebook "likes" can predict, with surprising accuracy, a person’s sexual orientation and even intelligence; how attractive women receive exponentially more interview requests; and why you must have haters to be hot. He charts the rise and fall of America’s most reviled word through Google Search and examines the new dynamics of collaborative rage on Twitter. He shows how people express themselves, both privately and publicly. What is the least Asian thing you can say? Do people bathe more in Vermont or New Jersey? What do black women think about Simon & Garfunkel? (Hint: they don’t think about Simon & Garfunkel.) Rudder also traces human migration over time, showing how groups of people move from certain small towns to the same big cities across the globe. And he grapples with the challenge of maintaining privacy in a world where these explorations are possible.
Visually arresting and full of wit and insight, Dataclysm is a new way of seeing ourselves—a brilliant alchemy, in which math is made human and numbers become the narrative of our time.
From the Hardcover edition.
The book begins with a summary of the nontechnical aspects of interviewing, such as common mistakes, strategies for a great interview, perspectives from the other side of the table, tips on negotiating the best offer, and a guide to the best ways to use EPI.
The technical core of EPI is a sequence of chapters on basic and advanced data structures, searching, sorting, broad algorithmic principles, concurrency, and system design. Each chapter consists of a brief review, followed by a broad and thought-provoking series of problems. We include a summary of data structure, algorithm, and problem solving patterns.
If you have an aptitude for mathematics and some programming skills, author Joel Grus will help you get comfortable with the math and statistics at the core of data science, and with hacking skills you need to get started as a data scientist. Today’s messy glut of data holds answers to questions no one’s even thought to ask. This book provides you with the know-how to dig those answers out.Get a crash course in PythonLearn the basics of linear algebra, statistics, and probability—and understand how and when they're used in data scienceCollect, explore, clean, munge, and manipulate dataDive into the fundamentals of machine learningImplement models such as k-nearest Neighbors, Naive Bayes, linear and logistic regression, decision trees, neural networks, and clusteringExplore recommender systems, natural language processing, network analysis, MapReduce, and databases
The algorithms in this book represent a body of knowledge developed over the last 50 years that has become indispensable, not just for professional programmers and computer science students but for any student with interests in science, mathematics, and engineering, not to mention students who use computation in the liberal arts.
The companion web site, algs4.cs.princeton.edu, containsAn online synopsis Full Java implementations Test data Exercises and answers Dynamic visualizations Lecture slides Programming assignments with checklists Links to related material
The MOOC related to this book is accessible via the "Online Course" link at algs4.cs.princeton.edu. The course offers more than 100 video lecture segments that are integrated with the text, extensive online assessments, and the large-scale discussion forums that have proven so valuable. Offered each fall and spring, this course regularly attracts tens of thousands of registrants.
Robert Sedgewick and Kevin Wayne are developing a modern approach to disseminating knowledge that fully embraces technology, enabling people all around the world to discover new ways of learning and teaching. By integrating their textbook, online content, and MOOC, all at the state of the art, they have built a unique resource that greatly expands the breadth and depth of the educational experience.
SQLite is a small, embeddable, SQL-based, relational database management system. It has been widely used in low- to medium-tier database applications, especially in embedded devices. This book provides a comprehensive description of SQLite database system. It describes design principles, engineering trade-offs, implementation issues, and operations of SQLite.
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 advantageTreat data as a business asset that requires careful investment if you’re to gain real valueApproach business problems data-analytically, using the data-mining process to gather good data in the most appropriate wayLearn general concepts for actually extracting knowledge from dataApply data science principles when interviewing data science job candidates
If you want to find out how to use Python to start answering critical questions of your data, pick up Python Machine Learning – whether you want to get started from scratch or want to extend your data science knowledge, this is an essential and unmissable resource.What You Will LearnExplore how to use different machine learning models to ask different questions of your dataLearn how to build neural networks using Keras and TheanoFind out how to write clean and elegant Python code that will optimize the strength of your algorithmsDiscover how to embed your machine learning model in a web application for increased accessibilityPredict continuous target outcomes using regression analysisUncover hidden patterns and structures in data with clusteringOrganize data using effective pre-processing techniquesGet to grips with sentiment analysis to delve deeper into textual and social media dataIn Detail
Machine learning and predictive analytics are transforming the way businesses and other organizations operate. Being able to understand trends and patterns in complex data is critical to success, becoming one of the key strategies for unlocking growth in a challenging contemporary marketplace. Python can help you deliver key insights into your data – its unique capabilities as a language let you build sophisticated algorithms and statistical models that can reveal new perspectives and answer key questions that are vital for success.
Python Machine Learning gives you access to the world of predictive analytics and demonstrates why Python is one of the world's leading data science languages. If you want to ask better questions of data, or need to improve and extend the capabilities of your machine learning systems, this practical data science book is invaluable. Covering a wide range of powerful Python libraries, including scikit-learn, Theano, and Keras, and featuring guidance and tips on everything from sentiment analysis to neural networks, you'll soon be able to answer some of the most important questions facing you and your organization.Style and approach
Python Machine Learning connects the fundamental theoretical principles behind machine learning to their practical application in a way that focuses you on asking and answering the right questions. It walks you through the key elements of Python and its powerful machine learning libraries, while demonstrating how to get to grips with a range of statistical models.
Companion website: https://sites.google.com/view/real-options
Designed for horizontal scalability, OpenStack lets you build a cloud by integrating several technologies. This approach provides flexibility, but knowing which options to use can be bewildering. Once you complete this book, you’ll know the right questions to ask while you organize compute, storage, and networking resources. If you already know how to manage multiple Ubuntu machines and maintain MySQL, you’re ready to:Set up automated deployment and configurationDesign a single-node cloud controllerUse metrics to improve scalabilityExplore compute nodes, network design, and storageInstall OpenStack packagesUse an example architecture to help simplify decision-makingBuild a working environment to explore an IaaS cloudManage users, projects, and quotasTackle maintenance, debugging, and network troubleshootingMonitor, log, backup, and restore
This book covers:Arrays and lists: the most common data structuresStacks and queues: more complex list-like data structuresLinked lists: how they overcome the shortcomings of arraysDictionaries: storing data as key-value pairsHashing: good for quick insertion and retrievalSets: useful for storing unique elements that appear only onceBinary Trees: storing data in a hierarchical mannerGraphs and graph algorithms: ideal for modeling networksAlgorithms: including those that help you sort or search dataAdvanced algorithms: dynamic programming and greedy algorithms
Best Android Apps leads you beyond the titles in Android Market's "Top Paid" and "Top Free" bins to showcase apps that will truly delight, empower, and entertain you. The authors have tested and handpicked more than 200 apps and games, each listed with a description and details highlighting the app's valuable tips and special features. Flip through the book to browse their suggestions, or head directly to the category of your choice to find the best apps to use at work, on the town, at play, at home, or on the road.
Discover great Android apps to help you:Juggle tasksConnect with friendsPlay gamesOrganize documentsExplore what's nearbyGet in shapeTravel the worldFind new musicDine outManage your money
...and much more!
Updated for R 2.14 and 2.15, this second edition includes new and expanded chapters on R performance, the ggplot2 data visualization package, and parallel R computing with Hadoop.Get started quickly with an R tutorial and hundreds of examplesExplore R syntax, objects, and other language detailsFind thousands of user-contributed R packages online, including BioconductorLearn how to use R to prepare data for analysisVisualize your data with R’s graphics, lattice, and ggplot2 packagesUse R to calculate statistical fests, fit models, and compute probability distributionsSpeed up intensive computations by writing parallel R programs for HadoopGet a complete desktop reference to R
Tips and Techniques for Writing
Table of Contents
The Art of Writing
Writing Meaningful Content
The Will to Write
What Is Expected Of A Good Content Writer?
How to Become a Good Content Writer
Comparing Textbroker with Other Content Writing Companies
Non-USA resident – try Odesk
Knowing More about Textbroker
Winning with a Well-Written Test Article
Keeping Yourself Informed
How to Write Quality Articles
Catching The Reader’s Interest
Rereading and proper editing
Do the Math
Check out some of the other JD-Biz Publishing books
This book is going to give you an introduction on how to become a successful article and content writer on Textbroker. Unfortunately, writing for Textbroker is limited only to people based in the USA, due to taxation problems. I was a writer for eight months, there, so when I decided to change locations and careers, I decided to stay on with content writing.
This book is going to give you plenty of helpful tips and techniques, content writing profitably, what your clients are going to expect from you, and other useful information, including writing for websites.
A successful content writer is that responsible person who takes the undertaking of writing a newsletter, article, blog, website content, or develops content, with the specific goal of educating his readers or bloggers. His secondary goal is to drive traffic to the client’s website.
Getting started with Arduino is a snap. To use the introductory examples in this guide, all you need is an Arduino Uno or Leonardo, along with a USB cable and an LED. The easy-to-use, free Arduino development environment runs on Mac, Windows, and Linux.
In Getting Started with Arduino, you'll learn about:Interaction design and physical computingThe Arduino board and its software environmentBasics of electricity and electronicsPrototyping on a solderless breadboardDrawing a schematic diagramTalking to a computer--and the cloud--from ArduinoBuilding a custom plant-watering system
By working with a single case study throughout this thoroughly revised book, you’ll learn the entire process of exploratory data analysis—from collecting data and generating statistics to identifying patterns and testing hypotheses. You’ll explore distributions, rules of probability, visualization, and many other tools and concepts.
New chapters on regression, time series analysis, survival analysis, and analytic methods will enrich your discoveries.Develop an understanding of probability and statistics by writing and testing codeRun experiments to test statistical behavior, such as generating samples from several distributionsUse simulations to understand concepts that are hard to grasp mathematicallyImport data from most sources with Python, rather than rely on data that’s cleaned and formatted for statistics toolsUse statistical inference to answer questions about real-world data
This updated second edition provides guidance for database developers, advanced configuration for system administrators, and an overview of the concepts and use cases for other people on your project. Ideal for NoSQL newcomers and experienced MongoDB users alike, this guide provides numerous real-world schema design examples.Get started with MongoDB core concepts and vocabularyPerform basic write operations at different levels of safety and speedCreate complex queries, with options for limiting, skipping, and sorting resultsDesign an application that works well with MongoDBAggregate data, including counting, finding distinct values, grouping documents, and using MapReduceGather and interpret statistics about your collections and databasesSet up replica sets and automatic failover in MongoDBUse sharding to scale horizontally, and learn how it impacts applicationsDelve into monitoring, security and authentication, backup/restore, and other administrative tasks
Bradley Holt, co-founder of the creative services firm Found Line, is a web developer and entrepreneur ten years of PHP and MySQL experience. He began using CouchDB before the release of version 1.0. Bradley is an active member of the PHP community, and can be reached at bradley-holt.com.
The code-packed examples in this book will help you learn how to work with documents, populate a simple database, replicate data from one database to another, and a host of other tasks.Install CouchDB on Linux, Mac OS X, Windows, or (if you must) from the source codeInteract with data through CouchDB’s RESTful API, and use standard HTTP operations, such as PUT, GET, POST, and DELETEUse Futon—CouchDB’s web-based interface— to manage databases and documents, and to configure replicationsLearn how to create, update, and delete documents in JSON format, and how to create and delete databasesWork with design documents to get the formatting and indexing your application requires
"The authors have appreciated that MDM is a complex multidimensional area, and have set out to cover each of these dimensions in sufficient detail to provide adequate practical guidance to anyone implementing MDM. While this necessarily makes the book rather long, it means that the authors achieve a comprehensive treatment of MDM that is lacking in previous works." -- Malcolm Chisholm, Ph.D., President, AskGet.com Consulting, Inc.
Regain control of your master data and maintain a master-entity-centric enterprise data framework using the detailed information in this authoritative guide. Master Data Management and Data Governance, Second Edition provides up-to-date coverage of the most current architecture and technology views and system development and management methods. Discover how to construct an MDM business case and roadmap, build accurate models, deploy data hubs, and implement layered security policies. Legacy system integration, cross-industry challenges, and regulatory compliance are also covered in this comprehensive volume.Plan and implement enterprise-scale MDM and Data Governance solutions Develop master data model Identify, match, and link master records for various domains through entity resolution Improve efficiency and maximize integration using SOA and Web services Ensure compliance with local, state, federal, and international regulations Handle security using authentication, authorization, roles, entitlements, and encryption Defend against identity theft, data compromise, spyware attack, and worm infection Synchronize components and test data quality and system performance
It includes Matlab code of the most common methods and algorithms in the book, together with a descriptive summary and solved examples, and including real-life data sets in imaging and audio recognition.
This text is designed for electronic engineering, computer science, computer engineering, biomedical engineering and applied mathematics students taking graduate courses on pattern recognition and machine learning as well as R&D engineers and university researchers in image and signal processing/analyisis, and computer vision.Matlab code and descriptive summary of the most common methods and algorithms in Theodoridis/Koutroumbas, Pattern Recognition, Fourth EditionSolved examples in Matlab, including real-life data sets in imaging and audio recognitionAvailable separately or at a special package price with the main text (ISBN for package: 978-0-12-374491-3)
This isn’t a book on theory. With detailed examples, sample scripts, and solid advice, software engineers with operations experience will learn specific techniques that 9apps routinely uses in its cloud infrastructures.Build cloud applications with the "rip, mix, and burn" approachGet a crash course on Amazon Web ServicesLearn the top ten tips for surviving outages in the cloudUse elasticsearch to build a dependable NoSQL data storeCombine AWS and PostgreSQL to build an RDBMS that scales wellCreate a highly available document database with MongoDB Replica Set and SimpleDBAugment Redis with AWS to provide backup/restore, failover, and monitoring capabilitiesWork with CloudFront and Route 53 to safeguard global content delivery
Linux Pocket Guide provides an organized learning path to help you gain mastery of the most useful and important commands. Whether you’re a novice who needs to get up to speed on Linux or an experienced user who wants a concise and functional reference, this guide provides quick answers.
Selected topics include:The filesystem and shellFile creation and editingText manipulation and pipelinesBackups and remote storageViewing and controlling processesUser account managementBecoming the superuserNetwork connectionsAudio and videoInstalling softwareProgramming with shell scripts
Do you want to earn more to improve you current financial situations?
Do you think having your own business cost a lot?
starting your own business is not easy. Even using Internet as the
medium, you still need money to buy products at the beginning.
there are ways that let you earn from the Internet without paying
anything. The methods are affordable for everyone. Using these methods,
you can earn not only a few bucks, but a full time income. You can get
enough and stable income, so that you can quit your annoying job. And,
the more important is, you don’t need to pay!
We are not going to
introduces methods such as online selling, since it cost you money
before earn you money. What we give you is the methods that you don't
need to pay anything, so that you can earn with $0 cost!
In this book, you will find out:
1. How to earn money from the Internet, not only a few hundred dollars, but a full time income!
2. The simple tools that you can use to earn big money with a few minutes administration
3. Step by step tutorials on how to start the earning. Even dummies can follow!
4. Wide ranges of earning methods. You can earn from multiple stable income sources!
introduce the earning methods that you don't need to work a lot, but
can earn you a lot. We'll tell you the tricks to do this!
The Concept and Object Modeling Notation (COMN) is able to cover the full spectrum of analysis and design. A single COMN model can represent the objects and concepts in the problem space, logical data design, and concrete NoSQL and SQL document, key-value, columnar, and relational database implementations. COMN models enable an unprecedented level of traceability of requirements to implementation. COMN models can also represent the static structure of software and the predicates that represent the patterns of meaning in databases.
This book will teach you:the simple and familiar graphical notation of COMN with its three basic shapes and four line styles how to think about objects, concepts, types, and classes in the real world, using the ordinary meanings of English words that aren’t tangled with confused techno-speak how to express logical data designs that are freer from implementation considerations than is possible in any other notation how to understand key-value, document, columnar, and table-oriented database designs in logical and physical terms how to use COMN to specify physical database implementations in any NoSQL or SQL database with the precision necessary for model-driven development
Written by written by two experienced Zendesk product trainers, this book is distilled from years of working in the trenches, launching customer implementations, and answering thousands of questions from participants throughout the world. With it, you’ll be able to determine the best way to put Zendesk’s vast potential to work for your company.Apply custom branding to your user-facing support portalMitigate risk by implementing various Zendesk security featuresManage profiles and permissions for users, agents, and administratorsCreate tickets from email, voice, chat, feedback tabs, and social mediaCapture and classify help requests through standard and custom fieldsUse techniques to build an efficient agent support processAutomate your business rules in Zendesk to streamline your workflowProvide your customers with self-service support
What You’ll LearnInstall SharePoint Server 2016, both using the user interface provided by Microsoft, and by using PowerShell
Understand your authentication options and associated security considerations
Deploy add-ins, either from the store, or from your own custom app catalog
Configure Search Service Application using either the provided UI or PowerShell
Configure business intelligence components such as Excel Services, SQL Server Reporting Services, and PowerPivot
Migrate to SharePoint Server 2016 from either SharePoint Server 2010 or 2013Understand approaches to high availability, disaster recovery, patching, and ways to monitor and maintain your SharePoint 2016 deployment once it’s up and running
Who This Book Is For
Anyone tasked with installing, configuring, and maintaining SharePoint Server 2016 in their organization. This book assumes some working knowledge of a previous release of SharePoint Server, such as SharePoint 2010 or SharePoint 2013
Beginning Power BI with Excel 2013 guides you step by step through the process of analyzing and visualizing your data. Daniel R. Clark, an expert in BI training and a regular speaker on these topics, takes you through each tool in turn, using hands-on activities to consolidate what you’ve learned in each chapter.
Starting with Power Pivot, you will create robust scalable data models which will serve as the foundation of your data analysis. Once you have mastered creating suitable data models, you will use them to build compelling interactive visualizations in Power View. It’s often necessary to combine data from disparate sources into a data model. Power Query allows you to easily discover, combine, and refine data from a variety of sources, so you can make accurate judgments with all the available information. Geographical awareness is another common requirement of data analysis. Using Power Maps you will create captivating visualizations that map your data in space and time.
Beginning Power BI with Excel 2013 is your practical guide to getting maximum insight from your data, and presenting it with impact.
While you can interface with Google in 97 languages and glean results in 35, you can't find any kind of instruction manual from Google. Lucky for you, our fully updated and greatly expanded second edition to the bestselling Google: The Missing Manual covers everything you could possibly want to know about Google, including the newest and coolest--and often most underused (what is Froogle, anyway?)--features. There's even a full chapter devoted to Gmail, Google's free email service that includes a whopping 2.5 GB of space).
This wise and witty guide delivers the complete scoop on Google, from how it works to how you can search far more effectively and efficiently (no more scrolling through 168 pages of seemingly irrelevant results); take best advantage of Google's lesser-known features, such as Google Print, Google Desktop, and Google Suggest; get your website listed on Google; track your visitors with Google Analytics; make money with AdWords and AdSense; and much more.
Whether you're new to Google or already a many-times-a-day user, you're sure to find tutorials, tips, tricks, and tools that take you well beyond simple search to Google gurudom.
15 yr old boy earns $15,000 a month - how about you?
22 yr old college student pays off college debt in one month - what on earth is happening and why aren't more people like you in on it?
This is your time, your Opportunity. There is a world of opportunities out there for you and “trust me” when I say; the time is now!
The economy is changing, while many still proclaim gloom and doom in some parts of the world people are out there, people just like you who are taking advantage of opportunities to make money with the technology that you yourself and millions out there are so familiar with.
For the young and the old, but especially for the young who are born with an apparent inherent understanding of the technology used today – you need to read this.
Many today are still talking about how the economy is struggling, how the youth of this generation are losing hope for a brighter tomorrow. Jobs are hard to come by for young people, there being taken by seniors because most cannot afford to retire. The fear of rising debt and the debt burden that is being placed on the next generation grows daily – but I would like to point out that, things are not that bad. That many are finding interesting new and fun ways of making money, of creating a future for themselves. Many of these entrepreneurial spirits are teens, young adults ranging in age of 13 to 22.You do not need to be Tech savvy.
While many are arguing on the news that the government needs to do something about the high rising prices of a college education, one young man paid off his college debt with the simple use of the technology you and I use today on a daily basis. Is he a genius? No. Is he alone in what he is doing? Not at all, there are many others who are doing just as well or even better than this young man.
Ask yourself these questions:
Am I using the technology available to me to its fullest?
Do I know how to use this advancing technology well?
If others are doing it, why can’t I?
Consider this: if you own and use a computer or a smartphone, you are halfway there.
Written by Oracle ACE Director and MySQL expert Ronald Bradford, with coauthor Chris Schneider, Effective MySQL: Replication Techniques in Depth describes what is needed to understand and implement MySQL replication to build scalable solutions. This book includes detailed syntax examples to demonstrate the features, options, and limitations of native MySQL replication. Providing an evaluation of various new replication features and additional third-party product implementations, this Oracle Press guide helps to ensure your MySQL environment can support the various high-availability needs of your business.Master the strengths and limitations of native asynchronous replication in a MySQL topology Identify the important features to improve replication for growing business requirements Recognize the key business factors to determine your optimal highavailability needs Understand the benefits of using MySQL replication for failover scenarios Identify the key configuration variables and SQL commands affecting master/ slave replication Learn about the advancements in replication techniques provided by new products, including Tungsten Replicator and Galera Optimize your replication management with various utilities and toolkits
Find additional detailed information and presentations at EffectiveMySQL.com.
Implementing Splunk Second Edition is a learning guide that introduces you to all the latest features and improvements of Splunk 6.2. The book starts by introducing you to various concepts such as charting, reporting, clustering, and visualization. Every chapter is dedicated to enhancing your knowledge of a specific concept, including data models and pivots, speeding up your queries, backfilling, data replication, and so on. By the end of the book, you'll have a very good understanding of Splunk and be able to perform efficient data analysis.
· Introduces the concept of discrete event Monte Carlo simulation, the most commonly used methodology for modeling and analysis of complex systems
· Covers essential workings of the popular animated simulation language, ARENA, including set-up, design parameters, input data, and output analysis, along with a wide variety of sample model applications from production lines to transportation systems
· Reviews elements of statistics, probability, and stochastic processes relevant to simulation modeling
* Ample end-of-chapter problems and full Solutions Manual
* Includes CD with sample ARENA modeling programs
How to Cheat in Unity 5takes a no-nonsense approach to help you achieve fast and effective results with Unity 5. Geared towards the intermediate user, HTC in Unity 5 provides content beyond what an introductory book offers, and allows you to work more quickly and powerfully in Unity. Packed full with easy-to-follow methods to get the most from Unity, this book explores time-saving features for interface customization and scene management, along with productivity-enhancing ways to work with rendering and optimization. In addition, this book features a companion website at www.alanthorn.net, where you can download the book’s companion files and also watch bonus tutorial video content.
Learn bite-sized tips and tricks for effective Unity workflows
Become a more powerful Unity user through interface customization
Enhance your productivity with rendering tricks, better scene organization and more
Better understand Unity asset and import workflows
Learn techniques to save you time and money during development
Author Bob DuCharme has you writing simple queries right away before providing background on how SPARQL fits into RDF technologies. Using short examples that you can run yourself with open source software, you’ll learn how to update, add to, and delete data in RDF datasets.Get the big picture on RDF, linked data, and the semantic webUse SPARQL to find bad data and create new data from existing dataUse datatype metadata and functions in your queriesLearn techniques and tools to help your queries run more efficientlyUse RDF Schemas and OWL ontologies to extend the power of your queriesDiscover the roles that SPARQL can play in your applications
Would you like to be able to access your most important files anywhere you go? Even better, would you like to be able to do it without bringing a flash drive with the files with you? Would you like to be able to share files with anyone automatically without having to send them anything? And they would be able to do the same for you.
Dropbox lets you do all of this--and more! This revolutionary cloud technology has a multitude of benefits, many of which that will help you be more productive in your job and school work. Warren R. Sullivan has written a guide to Dropbox that is perfect for everyone, from beginners to those who are looking for more advanced ways to use Dropbox.
This valuable handbook has attracted scores of contributors since the European Journalism Centre and the Open Knowledge Foundation launched the project at MozFest 2011. Through a collection of tips and techniques from leading journalists, professors, software developers, and data analysts, you’ll learn how data can be either the source of data journalism or a tool with which the story is told—or both.Examine the use of data journalism at the BBC, the Chicago Tribune, the Guardian, and other news organizationsExplore in-depth case studies on elections, riots, school performance, and corruptionLearn how to find data from the Web, through freedom of information laws, and by "crowd sourcing"Extract information from raw data with tips for working with numbers and statistics and using data visualizationDeliver data through infographics, news apps, open data platforms, and download links
Thinking, and betting, like the pros
"Most people in sports betting are looking at things the wrong way."
- Peter Webb, founder of Bet Angel
"Some people only ever seem to want to hit the sexy six, and not take the singles"
- Compton Hellyer, founder of Sporting Index
This is a book that teaches you how to bet on sports with the same discipline and mindset as the professionals.
Lots of books and websites give advice on profitable strategies - and tipsters and systems proliferate. But this is the only guide that helps you make your trades and bank your wins for the long term, avoiding the perennial dangers of overconfidence, irrationality and emotion.
However successful your selections, you are never safe from crippling losses until you know how to bet with the clear head and calm approach of the masters.
The simple fact is that most people betting on sports lose over the long term. Performance errors currently hamper the majority of bettors: they lose their bets because they first lose their heads.The only answer is to think differently. With chapters ranging across motivation, performance analysis, the betting process and going pro, this book is the definitive guide to achieving this:
- Use dozens of exercises to sharpen your thinking and refine your betting processes.
- Share in the exclusive insights of professional sports bettors, who reveal for the first time how they have built successful gambling careers.
- Benefit in every chapter from one-to-one training from the author, a professional sports and trading performance coach.
Sports Betting to Win is your own personal course for establishing a firm psychological foundation for long-term betting success.
Each recipe addresses a specific problem, with a discussion that explains the solution and offers insight into how it works. If you’re a beginner, R Cookbook will help get you started. If you’re an experienced data programmer, it will jog your memory and expand your horizons. You’ll get the job done faster and learn more about R in the process.Create vectors, handle variables, and perform other basic functionsInput and output dataTackle data structures such as matrices, lists, factors, and data framesWork with probability, probability distributions, and random variablesCalculate statistics and confidence intervals, and perform statistical testsCreate a variety of graphic displaysBuild statistical models with linear regressions and analysis of variance (ANOVA)Explore advanced statistical techniques, such as finding clusters in your data
"Wonderfully readable, R Cookbook serves not only as a solutions manual of sorts, but as a truly enjoyable way to explore the R language—one practical example at a time."—Jeffrey Ryan, software consultant and R package author