The book features case discussions, USMLE-style questions, and a USMLE-style practice exam.

    Each chapter is bursting with creative and classic ideas to make the day as meaningful as it is beautiful: Stationery: Save-the-date cards do double duty when printed on coasters or delicate handkerchiefs.Ceremonies: An auspicious bird’s nest adds a beautiful and rustic touch for carrying rings at a farm wedding.Dressing Up: A retro bride goes glam with a feathered veil and pearl button–accented gloves. A casual groom and his mates add a personality pop with chocolate-brown Keds to match their wedding chinos.Cocktail Hour: For a low-key affair, mini grilled cheeses dipped in shot glasses of tomato soup satisfy.Centerpieces: Fruit slices suspended in crystal vases overflowing with Crayola-bright poppies and orchids offer a cheery setting.Cakes: White lace frosting details that match the bride’s dress and the couple’s monogram turn a pale green cake into a chic masterpiece.From classic white-on-white palettes to floral themes to fun fantasy ideas, the choices are limitless. Purple, pink, red, robin’s egg blue—find inspiration at every turn in all the colors a bride can dream of! And The Knot Ultimate Wedding Lookbook is loaded with money-saving ideas that don’t sacrifice style. Expert advice and rich images add up to a delicious visual feast and essential resource to help you create an event as special as you are as a couple.

    I did the basic research for my PhD in about twelve months, then spent two years writing up the results - and producing possibly too much. It succeeded, but I think I might have made a better job of it if I had read a book like this first. But they didn't exist in those days." Mantex This book looks at things the other books don’t tell you about doing a PhD - what it’s really like and how to come through it with a happy ending! It covers all the things you wish someone had told you before you started: What a PhD is really about, and how to do one well The "unwritten rules" of research and of academic writing What your supervisor actually means by terms like "good referencing" and "clean research question" How to write like a skilled researcher How academic careers really work An ideal resource if someone you care about (including yourself!) is undergoing or considering a PhD. This book turns lost, clueless students back into people who know what they are doing, and who can enjoy life again.

    What is it like to try to heal the body when the mind is under attack? In this book, Dr. Allan Ropper and Brian Burrell take the reader behind the scenes at Harvard Medical School's neurology unit to show how a seasoned diagnostician faces down bizarre, life-altering afflictions. Like Alice in Wonderland, Dr. Ropper inhabits a world where absurdities abound:• A figure skater whose body has become a ticking time-bomb • A salesman who drives around and around a traffic rotary, unable to get off • A college quarterback who can't stop calling the same play • A child molester who, after falling on the ice, is left with a brain that is very much dead inside a body that is very much alive • A mother of two young girls, diagnosed with ALS, who has to decide whether a life locked inside her own head is worth livingHow does one begin to treat such cases, to counsel people whose lives may be changed forever? How does one train the next generation of clinicians to deal with the moral and medical aspects of brain disease? Dr. Ropper and his colleague answer these questions by taking the reader into a rarified world where lives and minds hang in the balance.

    "Interpersonal Communication, 2e" demonstrates how effective interpersonal communication can make students' lives better. With careful consideration given to the impact of computer-mediated communication, the program reflects the rapid changes of the modern world in which today's students live and interact. The program also helps students understand and build interpersonal skills and choices for their academic, personal, and professional lives.

    Machine learning provides these, developing methods that can automatically detect patterns in data and then use the uncovered patterns to predict future data. This textbook offers a comprehensive and self-contained introduction to the field of machine learning, based on a unified, probabilistic approach.The coverage combines breadth and depth, offering necessary background material on such topics as probability, optimization, and linear algebra as well as discussion of recent developments in the field, including conditional random fields, L1 regularization, and deep learning. The book is written in an informal, accessible style, complete with pseudo-code for the most important algorithms. All topics are copiously illustrated with color images and worked examples drawn from such application domains as biology, text processing, computer vision, and robotics. Rather than providing a cookbook of different heuristic methods, the book stresses a principled model-based approach, often using the language of graphical models to specify models in a concise and intuitive way. Almost all the models described have been implemented in a MATLAB software package—PMTK (probabilistic modeling toolkit)—that is freely available online. The book is suitable for upper-level undergraduates with an introductory-level college math background and beginning graduate students.

    How did the replication bomb we call ”life” begin and where in the world, or rather, in the universe, is it heading? Writing with characteristic wit and an ability to clarify complex phenomena (the New York Times described his style as ”the sort of science writing that makes the reader feel like a genius”), Richard Dawkins confronts this ancient mystery.

    This book presents some of the most important modeling and prediction techniques, along with relevant applications. Topics include linear regression, classification, resampling methods, shrinkage approaches, tree- based methods, support vector machines, clustering, and more. Color graphics and real-world examples are used to illustrate the methods presented. Since the goal of this textbook is to facilitate the use of these statistical learning techniques by practitioners in science, industry, and other fields, each chapter contains a tutorial on implementing the analyses and methods presented in R, an extremely popular open source statistical software platform. Two of the authors co-wrote The Elements of Statistical Learning (Hastie, Tibshirani and Friedman, 2nd edition 2009), a popular reference book for statistics and machine learning researchers. An Introduction to Statistical Learning covers many of the same topics, but at a level accessible to a much broader audience. This book is targeted at statisticians and non-statisticians alike who wish to use cutting-edge statistical learning techniques to analyze their data. The text assumes only a previous course in linear regression and no knowledge of matrix algebra.

    It covers the basics of computer programming, including variables and values, functions, conditionals and control flow, program development and debugging. Later chapters cover basic algorithms and data structures.

    No new cells. No major changes. If you grew up depressed, angry, sad, aggressive, or nasty, you'd be that way for life. And, as you grew older, there'd be nowhere to go but down, as disease, age, or injury wiped out precious, irreplaceable brain cells. But over the past five, ten, twenty years, all that's changed. Using fMRI and PET scanning technology, neuroscientists can now look deep inside the human brain and they've discovered that it's amazingly flexible, resilient, and plastic. Pictures of the Mind: What the New Neuroscience Tells Us About Who We Are shows you what they've discovered and what it means to all of us. Through author Miriam Boleyn-Fitzgerald's masterfully written narrative and use stunning imagery, you'll watch human brains healing, growing, and adapting to challenges. You'll gain powerful new insights into the interplay between environment and genetics, begin understanding how people can influence their own intellectual abilities and emotional makeup, and understand the latest stunning discoveries about coma and "locked-in" syndrome. You'll learn about the tantalizing discoveries that may lead to cures for traumatic brain injury, stroke, emotional disorders, PTSD, drug addiction, chronic pain, maybe even Alzheimer's. Boleyn-Fitzgerald shows how these discoveries are transforming our very understanding of the "self," from an essentially static entity to one that can learn and change throughout life and even master the art of happiness.

    In all the current highly publicized debates about creationism and its descendant "intelligent design," there is an element of the controversy that is rarely mentioned—the "evidence," the empirical truth of evolution by natural selection. Even Richard Dawkins and Stephen Jay Gould, while extolling the beauty of evolution and examining case studies, have not focused on the evidence itself. Yet the proof is vast, varied, and magnificent, drawn from many different fields of science. Scientists are observing species splitting into two and are finding more and more fossils capturing change in the past—dinosaurs that have sprouted feathers, fish that have grown limbs. Why Evolution Is True weaves together the many threads of modern work in genetics, paleontology, geology, molecular biology, and anatomy that demonstrate the "indelible stamp" of the processes first proposed by Darwin. In crisp, lucid prose accessible to a wide audience, Why Evolution Is True dispels common misunderstandings and fears about evolution and clearly confirms that this amazing process of change has been firmly established as a scientific truth.