This completely updated bestseller was also written with photographers in mind. Author Martin Evening describes features in Lightroom 4 in detail from a photographer’s perspective. As an established commercial and fashion photographer, Martin knows firsthand what photographers need for an efficient workflow. He has also been working with Lightroom from the beginning, monitoring the product’s development and providing valued feedback to Adobe. As a result, Martin knows the software inside and out, from image selection to image editing to image management. In this book you’ll learn how to:• Work efficiently with images shot in the raw or JPEG format • Import photographs with ease and sort them according to your workflow• Create and manage a personal image library• Apply tonal adjustments to multiple images quickly• Integrate Lightroom with Adobe Photoshop• Export images for print or Web as digital contact sheets or personal portfolios• Make the most of new features in Lightroom 4, such as the Camera Raw Process 2012 Basic panel tone controlsPhotographers will find Lightroom 4–and The Adobe Photoshop Lightroom 4 Book–indispensable tools in their digital darkrooms.This book’s companion site, www.thelightroombook.com, offers video tutorials, articles, sample images, and updates from author Martin Evening.“With Martin’s expert guidance, you’ll soon find that you have precisely the tools you need to turn your concentration back where it belongs–on making better pictures!”–George Jardine, digital photography consultant “As a photographer himself, Martin Evening knows what tools photographers need to realize their creative vision. In this book, he shows not only how Adobe Photoshop Lightroom works but also why it will become an essential part of any photographer’s workflow.”–Greg Gorman, photographer

    This text provides a basic treatment of discrete-event simulation, including the proper collection and analysis of data, the use of analytic techniques, verification and validation of models, and designing simulation experiments. It offers an up-to-date treatment of simulation of manufacturing and material handling systems, computer systems, and computer networks. Students and instructors will find a variety of resources at the associated website, www.bcnn.net, including simulation source code for download, additional exercises and solutions, web links and errata.

    Included are step-by-step instructions on how to carry out Bayesian data analyses.Download Link : readbux.com/download?i=0124058884            0124058884 Doing Bayesian Data Analysis: A Tutorial with R, JAGS, and Stan PDF by John Kruschke

    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.

    Fat, they told us, was the enemy. Then it was salt, then sugar, then cholesterol... and on it goes. Americans listened and they lost -- but not their excess fat. What they lost was their health and waistlines. Americans are the fattest people on earth... and why? Mainly because of the food they eat. In this scientific and revolutionary book, based on Nobel Prize-winning research, medical visionary and former Massachusetts Institute of Technology researcher Dr. Barry Sears makes peak physical and mental performance, as well as permanent fat loss, simple for you to understand and achieve. With lists of good and bad carbohydrates, easy-to-follow food blocks and delicious recipes, The Zone provides all you need to begin your journey toward permanent fat loss, great health and all-round peak performance. In balance, your body will not only burn fat, but you'll fight heart disease, diabetes, PMS, chronic fatigue, depression and cancer, as well as alleviate the painful symptoms of diseases such as multiple sclerosis and HIV. This Zone state of exceptional health is well-known to champion athletes. Your own journey toward it can begin with your next meal. You will no longer think of food as merely an item of pleasure or a means to appease hunger. Food is your medicine and your ticket to that state of ultimate body balance, strength and great health: the Zone.

    The authors help students learn key sociological concepts through real research examples related to the dynamic interplay of race, class, gender, and other social variables.

    Together, we own and run TWO successful blogs! We went from $0 to over $103,457.98 in our first year of blogging, and we now make over $100,000 per month between both of our combined blogs, and we’re going to tell you EXACTLY how we got started in this eBook. It’s going to include the ups and the downs, the great successes and the complete and utter failures, and all of the steps in between.

    With Step By Step, you set the pace-building and practicing the skills you need, just when you need them! Topics include building a project plan and fine-tuning the details; scheduling tasks, assigning resources, and managing dependencies; monitoring progress and costs; keeping projects on track; communicating project data through Gantt charts and other views.

    Now that machine learning is thriving, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This practical book shows you how.By using concrete examples, minimal theory, and two production-ready Python frameworks—Scikit-Learn and TensorFlow—author Aurélien Géron helps you gain an intuitive understanding of the concepts and tools for building intelligent systems. You’ll learn how to use a range of techniques, starting with simple Linear Regression and progressing to Deep Neural Networks. If you have some programming experience and you’re ready to code a machine learning project, this guide is for you.This hands-on book shows you how to use:Scikit-Learn, an accessible framework that implements many algorithms efficiently and serves as a great machine learning entry pointTensorFlow, a more complex library for distributed numerical computation, ideal for training and running very large neural networksPractical code examples that you can apply without learning excessive machine learning theory or algorithm details

    No human being who stood on her decks that fateful night was alive to commemorate the event on its 100th anniversary. Their stories are with us, however, and the lessons remain. From the moment the world learned the Titanic had sunk, we wanted to know, who had survived? Those answers didn’t come until the evening of Thursday, April 18, 1912―when the Cunard liner Carpathia finally reached New York with the 706 survivors who had been recovered from Titanic’s lifeboats. Harold Bride, “Titanic’s surviving wireless operator,” relayed the story of the ship’s band. “The way the band kept playing was a noble thing. I heard it first while still we were working wireless when there was a ragtime tune for us. The last I saw of the band, when I was floating out in the sea with my lifebelt on, it was still on deck playing ‘Autumn.’ How they ever did it I cannot imagine.” There were stories of heroism―such as that of Edith Evans, who was waiting to board collapsible Lifeboat D, the last boat to leave Titanic, when she turned to Caroline Brown and said, “You go first. You have children waiting at home.” The sacrifice cost Evans her life, but as Mrs. Brown said later, “It was a heroic sacrifice, and as long as I live I shall hold her memory dear as my preserver, who preferred to die so that I might live.” There was mystery. There was bravery. There was suspense. There was cowardice. Most men who survived found themselves trying to explain how they survived when women and children had died. But mostly, there was loss. On her return to New York after picking up Titanic’s survivors, Carpathia had become known as a ship of widows. Rene Harris, who lost her husband, Broadway producer Henry Harris, in the disaster, later spoke of her loss when she said, “It was not a night to remember. It was a night to forget.” Drawing on a wealth of previously unpublished letters, memoirs, and diaries as well as interviews with survivors and family members, veteran author and writer Alan Rockwell brings to life the colorful voices and the harrowing experiences of many of those who lived to tell their story. More than 100 years after the RMS Titanic met its fatal end, the story of the tragic wreck continues to fascinate people worldwide. Though many survivors and their family members disappeared into obscurity or were hesitant to talk about what they went through, others were willing to share their experiences during the wreck and in its aftermath. This book recounts many of these first-hand accounts in graphic, compelling detail.

    Numerous case studies, followed by the author's analysis of the cases, helps you structure your thinking and apply professional standards to complex cases. Coverage includes ethics, legal research, and the professional literature in major topics in ethics (such as consent, confidentiality, and multiple relationships) and in applied settings (such as community mental health, private practice, schools, and teaching/research).

    Essentially, you are estimating a probability, but then updating that estimate based on other things that you know. This book is designed to give you an intuitive understanding of how to use Bayes Theorem. It starts with the definition of what Bayes Theorem is, but the focus of the book is on providing examples that you can follow and duplicate. Most of the examples are calculated in Excel, which is useful for updating probability if you have dozens or hundreds of data points to roll in.

    How can we catch schools that cheat on standardized tests? How does Netflix know which movies you’ll like? What is causing the rising incidence of autism? As best-selling author Charles Wheelan shows us in Naked Statistics, the right data and a few well-chosen statistical tools can help us answer these questions and more.For those who slept through Stats 101, this book is a lifesaver. Wheelan strips away the arcane and technical details and focuses on the underlying intuition that drives statistical analysis. He clarifies key concepts such as inference, correlation, and regression analysis, reveals how biased or careless parties can manipulate or misrepresent data, and shows us how brilliant and creative researchers are exploiting the valuable data from natural experiments to tackle thorny questions.And in Wheelan’s trademark style, there’s not a dull page in sight. You’ll encounter clever Schlitz Beer marketers leveraging basic probability, an International Sausage Festival illuminating the tenets of the central limit theorem, and a head-scratching choice from the famous game show Let’s Make a Deal—and you’ll come away with insights each time. With the wit, accessibility, and sheer fun that turned Naked Economics into a bestseller, Wheelan defies the odds yet again by bringing another essential, formerly unglamorous discipline to life.

    He includes information on Java Platform Standard Edition 6 (Java SE 6) and offers complete coverage of the Java language, its syntax, keywords, and fundamental programming principles.

    The book introduces a wide variety of models, whilst at the same time instructing the reader in how to fit these models using available software packages. The book illustrates the concepts by working through scores of real data examples that have arisen from the authors' own applied research, with programming codes provided for each one. Topics covered include causal inference, including regression, poststratification, matching, regression discontinuity, and instrumental variables, as well as multilevel logistic regression and missing-data imputation. Practical tips regarding building, fitting, and understanding are provided throughout. Author resource page: http: //www.stat.columbia.edu/ gelman/arm/