'Big data', 'data science', and 'machine learning' have become familiar terms in the news, as statistical methods are brought to bear upon the enormous data sets of modern science and commerce. How did we get here? And where are we going? This book takes us on an exhilarating journey through the revolution in data analysis following the introduction of electronic computation in the 1950s. Beginning with classical inferential theories - Bayesian, frequentist, Fisherian - individual chapters take up a series of influential topics: survival analysis, logistic regression, empirical Bayes, the jackknife and bootstrap, random forests, neural networks, Markov chain Monte Carlo, inference after model selection, and dozens more. The distinctly modern approach integrates methodology and algorithms with statistical inference. The book ends with speculation on the future direction of statistics and data science.

    It can be freely downloaded and it works on multiple computer platforms. This book provides an elementary introduction to R. In each chapter, brief introductory sections are followed by code examples and comments from the computational and statistical viewpoint. A supplementary R package containing the datasets can be downloaded from the web.

    Minimalist Budget will help you to turn your bloated expenses into a well-toned budget, spending on exactly what you need and nothing else. This book presents solutions for two major problems in our consumer society: (1) how to downsize your cravings without having to sacrifice the fun stuff, and (2) how to whip your finances into shape and follow a personalized budget. This is not a get rich quick book. But I can promise day-by-day, month-by-month, you’ll budget better and become richer as a consequence. Regardless of how much your income is we’ll find a way to budget, save, and increase your net worth. Since my youth, I’ve had to live on a budget that ranged from $100 to $200 a month if I was lucky. Even though I never knew how much I would have the next month, I was always able to have enough for my essential expenses, personal pleasures, and savings. If you’re tired of the false and impossible-to-follow promises of “finance gurus,” try out my simple, straightforward, easy-to-stick-to methods. Improve your spending habits: • Incorporate minimalism into your finances • How to avoid becoming a minimalist consumerist • Learn the psychological traps that make you overspend • Control your compulsive spending habits Feel financially secure every day: • Learn about two A-Z budgeting methods and how to make them work for you • Learn ratio-based budgeting and fixed-amount budgeting • Discover the best budgeting software programs • Design a bulletproof savings strategy to get out of debt, be prepared for emergencies, and set yourself up for retirement Stop hating your financial life: • Learn how to set SMART financial goals • Increase your self-confidence with budgeting • 50 small budgeting tips Financial education is not part of our educational system. It is normal that we don’t know how to budget when we step into the craziness we call adulthood. But it is not normal to stay ignorant about a field of life that (like it or not) guarantees our material survival. Money management is an essential skill for everybody who earns, shops or consumes. If you follow the budgeting tips in this book, you’ll be able to keep track of your finances. You’ll clearly know where your money goes, where it comes from and where can you save. You won’t feel stressed of running out of money unexpectedly, you’ll clear yourself out of debts and have savings for bigger expenses like a vacation, new car or unexpected events. Leave money struggles for yesterday. Grab a copy of Minimalist Budget by hitting buy now in the top right corner of this page.

    Hundreds of thousands of Python developers around the world rely on Python for general-purpose tasks, Internet scripting, systems programming, user interfaces, and product customization. Available on all major computing platforms, including commercial versions of Unix, Linux, Windows, and Mac OS X, Python is portable, powerful and remarkable easy to use.With its convenient, quick-reference format, "Python Pocket Reference," 3rd Edition is the perfect on-the-job reference. More importantly, it's now been refreshed to cover the language's latest release, Python 2.4. For experienced Python developers, this book is a compact toolbox that delivers need-to-know information at the flip of a page. This third edition also includes an easy-lookup index to help developers find answers fast!Python 2.4 is more than just optimization and library enhancements; it's also chock full of bug fixes and upgrades. And these changes are addressed in the "Python Pocket Reference," 3rd Edition. New language features, new and upgraded built-ins, and new and upgraded modules and packages--they're all clarified in detail.The "Python Pocket Reference," 3rd Edition serves as the perfect companion to "Learning Python" and "Programming Python."

    Crushed and left with broken ribs, a punctured lung, and compression fractures in his chest, spine, and pelvis, Bob pushed his arms forward, dug his fingers into the freezing mud and dragged his mostly paralyzed body forward. Saturated to the skin in freezing rain, far from help, and with the night fast approaching, Bob refused to give up.This includes photographs, documentation, and inspirational verses.This amazing true story was featured on the It's a Miracle series hosted by Richard Thomas. It aired on PAX Television as Chain Reaction in 1999.

    Back to basics guide to improve your knowledge of and practice of photography.Topics include camera and lens types, lighting, exposure, composition and image editing.

    The book begins by introducing the R language, including the development environment. Focusing on practical solutions, the book also offers a crash course in practical statistics and covers elegant methods for dealing with messy and incomplete data using features of R.About the TechnologyR is a powerful language for statistical computing and graphics that can handle virtually any data-crunching task. It runs on all important platforms and provides thousands of useful specialized modules and utilities. This makes R a great way to get meaningful information from mountains of raw data.About the BookR in Action is a language tutorial focused on practical problems. It presents useful statistics examples and includes elegant methods for handling messy, incomplete, and non-normal data that are difficult to analyze using traditional methods. And statistical analysis is only part of the story. You'll also master R's extensive graphical capabilities for exploring and presenting data visually. Purchase of the print book comes with an offer of a free PDF, ePub, and Kindle eBook from Manning. Also available is all code from the book. What's InsidePractical data analysis, step by stepInterfacing R with other softwareUsing R to visualize dataOver 130 graphsEight reference appendixes================================Table of ContentsPart I Getting startedIntroduction to RCreating a datasetGetting started with graphsBasic data managementAdvanced data managementPart II Basic methodsBasic graphsBasic statisticsPart III Intermediate methodsRegressionAnalysis of variancePower analysisIntermediate graphsRe-sampling statistics and bootstrappingPart IV Advanced methodsGeneralized linear modelsPrincipal components and factor analysisAdvanced methods for missing dataAdvanced graphics

    This practical book shows you how to bundle reusable R functions, sample data, and documentation together by applying author Hadley Wickham’s package development philosophy. In the process, you’ll work with devtools, roxygen, and testthat, a set of R packages that automate common development tasks. Devtools encapsulates best practices that Hadley has learned from years of working with this programming language. Ideal for developers, data scientists, and programmers with various backgrounds, this book starts you with the basics and shows you how to improve your package writing over time. You’ll learn to focus on what you want your package to do, rather than think about package structure. Learn about the most useful components of an R package, including vignettes and unit tests Automate anything you can, taking advantage of the years of development experience embodied in devtools Get tips on good style, such as organizing functions into files Streamline your development process with devtools Learn the best way to submit your package to the Comprehensive R Archive Network (CRAN) Learn from a well-respected member of the R community who created 30 R packages, including ggplot2, dplyr, and tidyr

    With this fun and friendly beginners guide, you will quickly grasp how to play Minecraft in the three modes of game play: survival, creative, and hardcore. The easy-to-understand writing style walks you through every step of the way, from downloading the game to choosing a gaming platform to defending your creations against monsters and winning the game by defeating the Ender Dragon. Explains how to use blocks to build amazing creations and engage in gameplay with other players Details techniques for travelling across the biomes Zeroes in on playing wisely in Survival mode so you can acquire resources to maintain your health and hunger Shares tips for playing carefully in Creative mode, using your unlimited supply of resources, the ability to fly, and more Helps you play in Hardcore mode Minecraft For Dummies, Portable Edition goes where you go as you create a world you won't want to leave!

    In order to enable students to apply the basics of data modeling to real models, the book addresses the realities of developing systems in real-world situations by assessing the merits of a variety of possible solutions as well as using language and diagramming methods that represent industry practice.This revised edition has been given significantly expanded coverage and reorganized for greater reader comprehension even as it retains its distinctive hallmarks of readability and usefulness. Beginning with the basics, the book provides a thorough grounding in theory before guiding the reader through the various stages of applied data modeling and database design. Later chapters address advanced subjects, including business rules, data warehousing, enterprise-wide modeling and data management. It includes an entirely new section discussing the development of logical and physical modeling, along with new material describing a powerful technique for model verification. It also provides an excellent resource for additional lectures and exercises.This text is the ideal reference for data modelers, data architects, database designers, DBAs, and systems analysts, as well as undergraduate and graduate-level students looking for a real-world perspective.

    Ideal for processing large datasets, the Apache Hadoop framework is an open source implementation of the MapReduce algorithm on which Google built its empire. This comprehensive resource demonstrates how to use Hadoop to build reliable, scalable, distributed systems: programmers will find details for analyzing large datasets, and administrators will learn how to set up and run Hadoop clusters. Complete with case studies that illustrate how Hadoop solves specific problems, this book helps you:Use the Hadoop Distributed File System (HDFS) for storing large datasets, and run distributed computations over those datasets using MapReduce Become familiar with Hadoop's data and I/O building blocks for compression, data integrity, serialization, and persistence Discover common pitfalls and advanced features for writing real-world MapReduce programs Design, build, and administer a dedicated Hadoop cluster, or run Hadoop in the cloud Use Pig, a high-level query language for large-scale data processing Take advantage of HBase, Hadoop's database for structured and semi-structured data Learn ZooKeeper, a toolkit of coordination primitives for building distributed systems If you have lots of data -- whether it's gigabytes or petabytes -- Hadoop is the perfect solution. Hadoop: The Definitive Guide is the most thorough book available on the subject. "Now you have the opportunity to learn about Hadoop from a master-not only of the technology, but also of common sense and plain talk." -- Doug Cutting, Hadoop Founder, Yahoo!

    We are then forced to re-live the moments we have spent decades burying beneath amicable smiles and a false sense of security. This is my story; one shrouded in as much truth as my mind can tolerate. My story may mean nothing to you, but I believe, that if these words were to fall into the right hands, then they could have the potential to change someone’s life, someone’s mind. At a young age I learned what it meant to carry the scorching secrets of a fiery hell. For years I allowed the flames to consume my mind as I proceeded to live a life devoted to destruction and chaos. I blamed my mother. I blamed the men that raped me. I blamed the woman that refused to love me back. But when the smoke cleared, the mirror on the wall only painted a single reflection, that of myself. So, when the big bad wolf no longer blows, yet the house still falls, who will I have to blame then? Only me.

    This is incidental as it is about neither of those industries in particular. It is about the magic and wonderment of those days as seen through the eyes of a child – my eyes! It is about the days when imagination was the biggest plaything that we possessed. The days when a plastic football provided a whole summer's play. It is about the scrapes that I found myself in and the things that I observed around me, and how they made me feel. All the stories are true and I personally experienced every one of them. The names of the characters have been changed. The reason being that I have no idea of the whereabouts of many of the characters contained within my stories, so I have no way of asking them for their permission to include them in this book. Some have possibly passed away, and it would be unfair of me to mention them without their blessing. Anyone who knows me will know who they are though.

    During that week, you will learn almost everything modern machine learning has to offer. The author and other practitioners have spent years learning these concepts.Companion wiki — the book has a continuously updated wiki that extends some book chapters with additional information: Q&A, code snippets, further reading, tools, and other relevant resources.Flexible price and formats — choose from a variety of formats and price options: Kindle, hardcover, paperback, EPUB, PDF. If you buy an EPUB or a PDF, you decide the price you pay!Read first, buy later — download book chapters for free, read them and share with your friends and colleagues. Only if you liked the book or found it useful in your work, study or business, then buy it.

    Its world-class authors provide guidance on all aspects of Bayesian data analysis and include examples of real statistical analyses, based on their own research, that demonstrate how to solve complicated problems. Changes in the new edition include:Stronger focus on MCMC Revision of the computational advice in Part III New chapters on nonlinear models and decision analysis Several additional applied examples from the authors' recent research Additional chapters on current models for Bayesian data analysis such as nonlinear models, generalized linear mixed models, and more Reorganization of chapters 6 and 7 on model checking and data collectionBayesian computation is currently at a stage where there are many reasonable ways to compute any given posterior distribution. However, the best approach is not always clear ahead of time. Reflecting this, the new edition offers a more pluralistic presentation, giving advice on performing computations from many perspectives while making clear the importance of being aware that there are different ways to implement any given iterative simulation computation. The new approach, additional examples, and updated information make Bayesian Data Analysis an excellent introductory text and a reference that working scientists will use throughout their professional life.