It provides students with skills that will enable them to make productive use of computational techniques, including some of the tools and techniques of "data science" for using computation to model and interpret data. The book is based on an MIT course (which became the most popular course offered through MIT's OpenCourseWare) and was developed for use not only in a conventional classroom but in in a massive open online course (or MOOC) offered by the pioneering MIT--Harvard collaboration edX.Students are introduced to Python and the basics of programming in the context of such computational concepts and techniques as exhaustive enumeration, bisection search, and efficient approximation algorithms. The book does not require knowledge of mathematics beyond high school algebra, but does assume that readers are comfortable with rigorous thinking and not intimidated by mathematical concepts. Although it covers such traditional topics as computational complexity and simple algorithms, the book focuses on a wide range of topics not found in most introductory texts, including information visualization, simulations to model randomness, computational techniques to understand data, and statistical techniques that inform (and misinform) as well as two related but relatively advanced topics: optimization problems and dynamic programming.Introduction to Computation and Programming Using Python can serve as a stepping-stone to more advanced computer science courses, or as a basic grounding in computational problem solving for students in other disciplines.

    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.

    Significant pedagogical advances have been made while preserving the integrity of Dr. Ganong's work....They have done an excellent job of updating this classic, and the tradition continues. So many students in the future will be able to use this book to enhance their knowledge."--"Doody's Review Service"For more than four decades, "Ganong's Review of Medical Physiology" has been the leader in helping medical students and clinicians understand the fascinating subject of human and mammalian physiology. Concisely covering every important topic without sacrificing depth or readability, "Ganong's" delivers more detailed, clinically-relevant, high-yield information per page than any similar text or review.Thoroughly updated to reflect the latest research and developments in important areas such as the cellular basis of neurophysiology, "Ganong's Review of Medical Physiology" incorporates examples from clinical medicine throughout the chapters to illustrate important physiologic concepts. Whether you're a student who needs an outstanding review for the USMLE or a physician who wants to keep pace with the ever-changing field of medical physiology, there's no better place to turn than "Ganong's Review of Medical Physiology."Here's why this is the best edition of "Ganong's" ever: NEW full-color illustrations -- the authors have worked with an outstanding team of medical illustrators, photographers, educators, and students to give you an unmatched collection of illustrations and tables NEW boxed clinical cases -- featuring examples of diseases that illustrate important physiological principles NEW high-yield end-of-chapter board review questions iPod-compatible review - questions and illustrations from each chapter test your comprehension of the material Companion online learning center includes cases, illustrations, and board review questions (www.LangeTextbooks.com)

    It is elegant, clever and rewarding to learn, but it is hard. Even the best students find it challenging, and those who are unprepared often find it incomprehensible at first. This book aims to ensure that no student need be unprepared. It is not like other Analysis books. It is not a textbook containing standard content. Rather, it is designed to be read before arriving at university and/or before starting an Analysis course, or as a companion text once a course is begun. It provides a friendly and readable introduction to the subject by building on the students existing understanding of six key topics: sequences, series, continuity, differentiability, integrability and the real numbers. It explains how mathematicians develop and use sophisticated formal versions of these ideas, and provides a detailed introduction to the central definitions, theorems and proofs, pointing out typical areas of difficulty and confusion and explaining how to overcome these. The book also provides study advice focused on the skills that students need if they are to build on this introduction and learn successfully in their own Analysis courses: it explains how to understand definitions, theorems and proofs by relating them to examples and diagrams, how to think productively about proofs, and how theories are taught in lectures and books on advanced mathematics. It also offers practical guidance on strategies for effective study planning. The advice throughout is research-based and is presented in an engaging style that will be accessible to students who are new to advanced abstract mathematics.

    Many people with BPD excel in academics and careers while revealing erratic, self-destructive, and sometimes violent behavior only to those withwhom they are intimate. Others have trouble simply holding down a job or staying in school.Overcoming Borderline Personality Disorder is a compassionate and informative guide to understanding this profoundly unsettling--and widely misunderstood--mental illness, believed to affect approximately 6% of the general population. Rather than viewing people with BPD as manipulative opponents in abitter struggle, or pitying them as emotional invalids, Valerie Porr cites cutting-edge science to show that BPD is a true neurobiological disorder and not, as many come to believe, a character flaw or the result of bad parenting. Porr then clearly and accessibly explains what BPD is, whichtherapies have proven effective, and how to rise above the weighty stigma associated with the disorder. Offering families and loved ones supportive guidance that both acknowledges the difficulties they face and shows how they can be overcome, Porr teaches empirically-supported and effective copingbehaviors and interpersonal skills, such as new ways of talking about emotions, how to be aware of nonverbal communication, and validating difficult experiences. These skills are derived from Dialectical Behavior Therapy and Mentalization-based Therapy, two evidence-based treatments that have provenhighly successful in reducing family conflict while increasing trust. Overcoming Borderline Personality Disorder is an empowering and hopeful resource for those who wish to gain better understanding of the BPD experience--and to make use of these insights in day-to-day family interactions.Winner of the ABCT Self Help Book Seal of Merit Award 2011

    

    My great hope is that they will inspire you to get cooking to improve your own health whatever your personal goal.' GORDON RAMSAY The dream combination - a Michelin-starred superchef who is also a committed athlete. Gordon knows how important it is to eat well, whether you're training for a triathlon or just leading a busy active life. And just because it's healthy food you don't have to compromise on taste and flavour. The book is divided into three sections, each one offering breakfasts, lunches, suppers, sides and snacks with different health-boosting benefits. The Healthy section consists of nourishing recipes for general wellbeing; the Lean recipes encourage healthy weight loss; and the Fit section features pre- and post-workout dishes to build strength and energise. This is the ultimate collection of recipes that you'll enjoy cooking and eating, and will leave you in great shape whatever your fitness goals.

    Data Science For Dummies is the perfect starting point for IT professionals and students interested in making sense of their organization’s massive data sets and applying their findings to real-world business scenarios. From uncovering rich data sources to managing large amounts of data within hardware and software limitations, ensuring consistency in reporting, merging various data sources, and beyond, you’ll develop the know-how you need to effectively interpret data and tell a story that can be understood by anyone in your organization. Provides a background in data science fundamentals before moving on to working with relational databases and unstructured data and preparing your data for analysis Details different data visualization techniques that can be used to showcase and summarize your data Explains both supervised and unsupervised machine learning, including regression, model validation, and clustering techniques Includes coverage of big data processing tools like MapReduce, Hadoop, Dremel, Storm, and Spark It’s a big, big data world out there – let Data Science For Dummies help you harness its power and gain a competitive edge for your organization.

    It's a sharp shocker, an eye opener, asking the big questions about what it means to be human, about consciousness and happiness. It'll pull you in and gross out. Exuberantly curious and shamelessly exuberant, Guerilla Science's Zoe Cormier reinvents popular science for a new generation by breaking all the rules. Let's rock.

    This is complexity. But too many leaders approach complexity the wrong way - they push their people harder and harder and tackle problems one at a time over months, sometimes even years, and nearly always in a linear fashion. It's like setting a pot of water on "low" and waiting for it to boil. To solve the seemingly intractable challenges that leaders bang their heads against for months - to get the metaphorical water to boil - you must generate a high amount of heat very quickly. In this book, the authors share their proven formula for dramatically shortening the process and solving an organization's toughest challenges in mere days.

    With it has come vast amounts of data in a variety of fields such as medicine, biology, finance, and marketing. The challenge of understanding these data has led to the development of new tools in the field of statistics, and spawned new areas such as data mining, machine learning, and bioinformatics. Many of these tools have common underpinnings but are often expressed with different terminology. This book describes the important ideas in these areas in a common conceptual framework. While the approach is statistical, the emphasis is on concepts rather than mathematics. Many examples are given, with a liberal use of color graphics. It should be a valuable resource for statisticians and anyone interested in data mining in science or industry. The book's coverage is broad, from supervised learning (prediction) to unsupervised learning. The many topics include neural networks, support vector machines, classification trees and boosting—the first comprehensive treatment of this topic in any book. Trevor Hastie, Robert Tibshirani, and Jerome Friedman are professors of statistics at Stanford University. They are prominent researchers in this area: Hastie and Tibshirani developed generalized additive models and wrote a popular book of that title. Hastie wrote much of the statistical modeling software in S-PLUS and invented principal curves and surfaces. Tibshirani proposed the Lasso and is co-author of the very successful An Introduction to the Bootstrap. Friedman is the co-inventor of many data-mining tools including CART, MARS, and projection pursuit.

    Inside you'll find a huge number of hands-on exercises and techniques to help you remove roadblocks to change - whether you're seeking to overcome anxiety and depression, boost self-esteem, lose weight, beat addiction or simply improve your outlook in your professional and personal life - and regain control over your life.Rhena Branch and Rob Willson are CBT therapists at the Priory Clinic in London, and the authors of Cognitive Behavioural Therapy For Dummies.

    His talents are vividly revealed in this exciting and penetrating explanation of how the central laws of physical science evolved — from Pythagoras' discovery of frequency ratios in the 6th century B.C. to today's research on elementary particles.Unlike many books on physics which focus entirely on fact and theory with little or no historic detail, the present work incorporates fascinating personal and biographical data about the great physicists of past and present. Thus Dr. Gamow discusses on an equal basis the trail of Galileo and the basic laws of mechanics which he discovered, or gives his personal recollections about Niels Bohr along with detailed discussion of Bohr's atomic model. You'll also find revealing glimpses of Newton, Huygens, Heisenberg, Pauli, Einstein, and many other immortals of science.Each chapter is centered around a single great figure, or at most two, with other physicists of the era and their contributions forming a background. Major topics include the dawn of physics, the Dark Ages and the Renaissance, Newtonian physics, heat as energy, electricity, the relativistic revolution, quantum theory, and the atomic nucleus and elementary particles.As Dr. Gamow points out in the Preface, the aim of this book is to give the reader the feeling of what physics is, and what kind of people physicists are. This delightfully informal approach, combined with the book's clear, easy-to-follow explanations, will especially appeal to young readers but will stimulate and entertain science enthusiasts of all ages. 1961 edition."The whole thing is a tour de force covering all the important landmarks." — Guardian

    As the lead singer of a punk rock band and a competitive triathlete, his tattoo-covered biceps don’t exactly scream “plant eater.” But it’s that very misconception he rallies against in his provocative book, Meat Is for Pussies.According to Joseph, eating animals—whether in the form of steak, burgers, wings, or ribs—is for the weak. Contrary to popularly accepted wisdom, eating animal protein doesn’t make you stronger, tougher, or manlier—it makes you sicker, heavier, slower, and more prone to life-threatening disease. In essence: it makes you a pussy.In Meat Is for Pussies, Joseph shares his shocking and compelling story of evolving from a life of violence and hard-knock living to a man who chooses not to participate in the cycle of violence by eating animals. He also dispels the common myths surrounding meat, while sharing the latest information on the nutritional benefits of a plant-based diet and the dangers of eating meat and processed foods. In addition, Joseph offers practical guidance about such everyday issues as meal planning, recipes, and working out.There is a substantial category of vegan literature out there, but no one has written a book like this. By turns explosive, controversial, moving, and laugh-out-loud funny, and illustrated with eight pages of black-and-white photos, Meat Is for Pussies is a plant-based manifesto.

    Don't be so sure, says John Gribbin, one of today's best popular science writers. In this fascinating and intriguing new book, Gribbin argues that the very existence of intelligent life anywhere in the cosmos is, from an astrophysicist's point of view, a miracle. So why is there life on Earth and (seemingly) nowhere else? What happened to make this planet special? Taking us back some 600 million years, Gribbin lets you experience the series of unique cosmic events that were responsible for our unique form of life within the Milky Way Galaxy. Written by one of our foremost popular science writers, author of the bestselling In Search of Schrödinger's Cat Offers a bold answer to the eternal question, "Are we alone in the universe?" Explores how the impact of a "supercomet" with Venus 600 million years ago created our moon, and along with it, the perfect conditions for life on Earth From one of our most talented science writers, this book is a daring, fascinating exploration into the dawning of the universe, cosmic collisions and their consequences, and the uniqueness of life on Earth.