In Washington, D.C. From Above the aerial photography of Cameron Davidson gives you the opportunity to enjoy images of the capital city's most distinctive high-rise buildings and attractions as well as its lesser-known but fascinating landmarks.
Master Bayesian Inference through Practical Examples and Computation–Without Advanced Mathematical Analysis Bayesian methods of inference are deeply natural and extremely powerful. However, most discussions of Bayesian inference rely on intensely complex mathematical analyses and artificial examples, making it inaccessible to anyone without a strong mathematical background. Now, though, Cameron Davidson-Pilon introduces Bayesian inference from a computational perspective, bridging theory to practice–freeing you to get results using computing power. Bayesian Methods for Hackers illuminates Bayesian inference through probabilistic programming with the powerful PyMC language and the closely related Python tools NumPy, SciPy, and Matplotlib. Using this approach, you can reach effective solutions in small increments, without extensive mathematical intervention. Davidson-Pilon begins by introducing the concepts underlying Bayesian inference, comparing it with other techniques and guiding you through building and training your first Bayesian model. Next, he introduces PyMC through a series of detailed examples and intuitive explanations that have been refined after extensive user feedback. You’ll learn how to use the Markov Chain Monte Carlo algorithm, choose appropriate sample sizes and priors, work with loss functions, and apply Bayesian inference in domains ranging from finance to marketing. Once you’ve mastered these techniques, you’ll constantly turn to this guide for the working PyMC code you need to jumpstart future projects. Coverage includes • Learning the Bayesian “state of mind” and its practical implications • Understanding how computers perform Bayesian inference • Using the PyMC Python library to program Bayesian analyses • Building and debugging models with PyMC • Testing your model’s “goodness of fit” • Opening the “black box” of the Markov Chain Monte Carlo algorithm to see how and why it works • Leveraging the power of the “Law of Large Numbers” • Mastering key concepts, such as clustering, convergence, autocorrelation, and thinning • Using loss functions to measure an estimate’s weaknesses based on your goals and desired outcomes • Selecting appropriate priors and understanding how their influence changes with dataset size • Overcoming the “exploration versus exploitation” dilemma: deciding when “pretty good” is good enough • Using Bayesian inference to improve A/B testing • Solving data science problems when only small amounts of data are available Cameron Davidson-Pilon has worked in many areas of applied mathematics, from the evolutionary dynamics of genes and diseases to stochastic modeling of financial prices. His contributions to the open source community include lifelines, an implementation of survival analysis in Python. Educated at the University of Waterloo and at the Independent University of Moscow, he currently works with the online commerce leader Shopify.
Recent years have witnessed a rapid rise in engagement with emotion and affect across a broad range of disciplines in the humanities and social sciences, with geographers among others making a significant contribution by examining the emotional intersections between people and places. Building on the achievements of Emotional Geographies (2005), the editors have brought together leading scholars such as Nigel Thrift, Alphonso Lingis and Frances Dyson as well as young, up and coming academics from a diverse range of disciplines to investigate feelings and affect in various spatial and social contexts, environments and landscapes. The book is divided into five sections covering the themes of remembering, understanding, mourning, belonging, and enchanting.
Charlaine Harris’ #1 New York Times bestselling Sookie Stackhouse novels are a cultural phenomenon, spawning a blockbuster TV show and enthralling millions of devoted fans around the world. Here, Harris and co-editor Toni L.P. Kelner invite a cadre of authors to delve deeper into the shadows of Bon Temps with fifteen short stories set in the world of Sookie Stackhouse ranging from the dramatic to the delightful. Just some of the stories you’ll experience within include... Purely platonic police officers Kevin Pryor and Kenya Jones find themselves out of their jurisdiction and out of luck when their pursuit of a blood-poisoned killer vampire leads them into the realm of the undead criminal underworld in Rachel Caine’s “Nobody’s Business.” In Leigh Evans’ hilarious “Extreme Makeover Vamp Edition,” uber-fashionable reality TV hosts Todd Seabrook and Bev Leveto are recruited by Eric Northman to do the impossible: bestow a whole new look upon a his very old, very unwilling, and very cranky vampiric bride-to-be... Vampire Bubba may not be King of Rock ’n Roll anymore, but he knows enough to know he isn’t exactly the brightest bulb on the bayou. Unfortunately, he proves himself all too right when, in the middle of an important rescue mission, he gets sidetracked in Bill Crider’s “Don’t Be Cruel.” At Christmastime, fast-talking half-demon Diantha is tasked by her Uncle Desmond to look into why his favored mortal, Sookie, isn’t decking the halls—and soon discovers that someone is trying to make the holidays a big humbug in “The Real Santa Claus” by Leigh Perry. Full of magic, fierce creatures, and insatiable desires, this collection of short stories set in the world of Sookie Stackhouse will have fans clamoring for more.
A collection of some of the world’s greatest adventures Anyone with a thirst for adventure and a courageous spirit will be captivated by the tales of endurance, determination, strength of mind, and perseverance recounted in this outstanding compilation. The stories in this book, be they fact or fiction, represent some of the most gripping and illuminating writing ever penned on the subject of adventure from across the globe. From straightforward narratives to spiritual reveries, adventure prompts men and women to pour forth essays, articles, and books that are unlike any other field of literature. Editors Kerry L. Burns and Cameron M. Burns showcase the amazingly vast spectrum that adventure literature offers. With contributions by: Matt Gerdes Linus Lawrence Platt Robyn Davidson Jon Turk Cameron M. Burns Doug Peacock Peter McBride Stephen Venables Roger W. Brucker Richard A. Watson Chris Davenport Jonathan Waterman John Ackerman Dean Cummings Christina Dodwell Edmund Stump
This is the eBook of the printed book and may not include any media, website access codes, or print supplements that may come packaged with the bound book. This book covers advanced Word, Excel, Access, and PowerPoint. Move students beyond the point-and-click. The goal of the Exploring series is to move students beyond the point and click, to understanding the why and how behind each skill. And, because so much learning takes place outside of the classroom, this series provides learning tools that students can access anywhere, any time. Students go to college now with a different set of skills than they did years ago. With this in mind, the Exploring series seeks to move students beyond the basics of the software at a faster pace, without sacrificing coverage of the fundamental skills that everyone needs to know. NOTE: Before purchasing, check with your instructor to ensure you select the correct ISBN. Several versions of Pearson's MyLab & Mastering products exist for each title, and registrations are not transferable. To register for and use Pearson's MyLab & Mastering products, you may also need a Course ID, which your instructor will provide. Used books, rentals, and purchases made outside of Pearson If purchasing or renting from companies other than Pearson, the access codes for Pearson's MyLab & Mastering products may not be included, may be incorrect, or may be previously redeemed. Check with the seller before completing your purchase.
Thank you for visiting our website. Would you like to provide feedback on how we could improve your experience?
This site does not use any third party cookies with one exception — it uses cookies from Google to deliver its services and to analyze traffic.Learn More.