The Elements of Data Analytic Style


Jeffrey Leek - 2015
    This book is focused on the details of data analysis that sometimes fall through the cracks in traditional statistics classes and textbooks. It is based in part on the authors blog posts, lecture materials, and tutorials. The author is one of the co-developers of the Johns Hopkins Specialization in Data Science the largest data science program in the world that has enrolled more than 1.76 million people. The book is useful as a companion to introductory courses in data science or data analysis. It is also a useful reference tool for people tasked with reading and critiquing data analyses. It is based on the authors popular open-source guides available through his Github account (https://github.com/jtleek). The paper is also available through Leanpub (https://leanpub.com/datastyle), if the book is purchased on that platform you are entitled to lifetime free updates.

Elementary Solid State Physics: Principles and Applications


M. Ali Omar - 1975
    I also hope that it will serve as a useful reference too for the many workers engaged in one type of solid state research activity or another, who may be without formal training in the subject.

Intermediate Accounting, Volume 2


Donald E. Kieso - 2000
    Intermediate Accounting integrates this new information throughout the chapters so they'll learn how to apply the new global accounting standards. Global examples are presented to clearly show how the information is utilised in the field. The use of various currencies is also explored, which is critical for accountants to know in today's global businesses environment.

The Homiletical Plot, Expanded Edition: The Sermon as Narrative Art Form


Eugene L. Lowry - 2000
    Craddock and afterword by the author, Eugene L. Lowry, The Homiletical Plot, Expanded Edition follows in the same solid tradition of its predecessor. Upon its release, The Homiletical Plot quickly became a pivotal work on the art of preaching. Instead of comments on a biblical passage, Lowry suggested that the sermon follow a narrative form that moves from beginning to end, as with the plot of a story. This expanded edition continues to be an excellent teaching resource and learning tool for all preachers from introductory students to seasoned clergy.

Amaze Yourself: Take a Quantum Leap...


Jill Ammon-Wexler - 2012
    Plus no matter how “limited” or “challenged” you might think you are, there’s a charismatic, confident and far more capable version of you just waiting for an invitation to emerge.This book is a SELF DISCOVERY adventure crafted by a pioneer brain/mind researcher and mind power mentor to thousands of people from around the world. You'll discover why it’s perfectly OK to be “imperfect” … proof you can LEARN TO THINK LIKE A GENIUS … an amazing way to “fake” your way to GENUINE HAPPINESS LITERALLY OVERNIGHT … what stress really is and how to tame it … PROOF you have extra-sensory powers … how to STOP MENTAL AGING …. why feeling restlessness and stuck is a very good thing … how to EXPERIENCE "THE FLOW" and much more.Finally … you will follow a step-by-step guide straight into a VERY REAL QUANTUM LEAP. If you want more in your life, this book will give you a very real road map! COMMIT TO CREATE A FAR MORE MEANINGFUL LIFE EXPERIENCE!

Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die


Eric Siegel - 2013
    Rather than a "how to" for hands-on techies, the book entices lay-readers and experts alike by covering new case studies and the latest state-of-the-art techniques.You have been predicted — by companies, governments, law enforcement, hospitals, and universities. Their computers say, "I knew you were going to do that!" These institutions are seizing upon the power to predict whether you're going to click, buy, lie, or die.Why? For good reason: predicting human behavior combats financial risk, fortifies healthcare, conquers spam, toughens crime fighting, and boosts sales.How? Prediction is powered by the world's most potent, booming unnatural resource: data. Accumulated in large part as the by-product of routine tasks, data is the unsalted, flavorless residue deposited en masse as organizations churn away. Surprise! This heap of refuse is a gold mine. Big data embodies an extraordinary wealth of experience from which to learn.Predictive analytics unleashes the power of data. With this technology, the computer literally learns from data how to predict the future behavior of individuals. Perfect prediction is not possible, but putting odds on the future — lifting a bit of the fog off our hazy view of tomorrow — means pay dirt.In this rich, entertaining primer, former Columbia University professor and Predictive Analytics World founder Eric Siegel reveals the power and perils of prediction: -What type of mortgage risk Chase Bank predicted before the recession. -Predicting which people will drop out of school, cancel a subscription, or get divorced before they are even aware of it themselves. -Why early retirement decreases life expectancy and vegetarians miss fewer flights. -Five reasons why organizations predict death, including one health insurance company. -How U.S. Bank, European wireless carrier Telenor, and Obama's 2012 campaign calculated the way to most strongly influence each individual. -How IBM's Watson computer used predictive modeling to answer questions and beat the human champs on TV's Jeopardy! -How companies ascertain untold, private truths — how Target figures out you're pregnant and Hewlett-Packard deduces you're about to quit your job. -How judges and parole boards rely on crime-predicting computers to decide who stays in prison and who goes free. -What's predicted by the BBC, Citibank, ConEd, Facebook, Ford, Google, IBM, the IRS, Match.com, MTV, Netflix, Pandora, PayPal, Pfizer, and Wikipedia. A truly omnipresent science, predictive analytics affects everyone, every day. Although largely unseen, it drives millions of decisions, determining whom to call, mail, investigate, incarcerate, set up on a date, or medicate.Predictive analytics transcends human perception. This book's final chapter answers the riddle: What often happens to you that cannot be witnessed, and that you can't even be sure has happened afterward — but that can be predicted in advance?Whether you are a consumer of it — or consumed by it — get a handle on the power of Predictive Analytics.

R for Dummies


Joris Meys - 2012
    R is packed with powerful programming capabilities, but learning to use R in the real world can be overwhelming for even the most seasoned statisticians. This easy-to-follow guide explains how to use R for data processing and statistical analysis, and then, shows you how to present your data using compelling and informative graphics. You'll gain practical experience using R in a variety of settings and delve deeper into R's feature-rich toolset.Includes tips for the initial installation of RDemonstrates how to easily perform calculations on vectors, arrays, and lists of dataShows how to effectively visualize data using R's powerful graphics packagesGives pointers on how to find, install, and use add-on packages created by the R communityProvides tips on getting additional help from R mailing lists and websitesWhether you're just starting out with statistical analysis or are a procedural programming pro, "R For Dummies" is the book you need to get the most out of R.

All the Mathematics You Missed


Thomas A. Garrity - 2001
    This book will offer students a broad outline of essential mathematics and will help to fill in the gaps in their knowledge. The author explains the basic points and a few key results of all the most important undergraduate topics in mathematics, emphasizing the intuitions behind the subject. The topics include linear algebra, vector calculus, differential and analytical geometry, real analysis, point-set topology, probability, complex analysis, set theory, algorithms, and more. An annotated bibliography offers a guide to further reading and to more rigorous foundations.

Practical Statistics for Data Scientists: 50 Essential Concepts


Peter Bruce - 2017
    Courses and books on basic statistics rarely cover the topic from a data science perspective. This practical guide explains how to apply various statistical methods to data science, tells you how to avoid their misuse, and gives you advice on what's important and what's not.Many data science resources incorporate statistical methods but lack a deeper statistical perspective. If you're familiar with the R programming language, and have some exposure to statistics, this quick reference bridges the gap in an accessible, readable format.With this book, you'll learn:Why exploratory data analysis is a key preliminary step in data scienceHow random sampling can reduce bias and yield a higher quality dataset, even with big dataHow the principles of experimental design yield definitive answers to questionsHow to use regression to estimate outcomes and detect anomaliesKey classification techniques for predicting which categories a record belongs toStatistical machine learning methods that "learn" from dataUnsupervised learning methods for extracting meaning from unlabeled data

Linear Algebra Done Right


Sheldon Axler - 1995
    The novel approach taken here banishes determinants to the end of the book and focuses on the central goal of linear algebra: understanding the structure of linear operators on vector spaces. The author has taken unusual care to motivate concepts and to simplify proofs. For example, the book presents - without having defined determinants - a clean proof that every linear operator on a finite-dimensional complex vector space (or an odd-dimensional real vector space) has an eigenvalue. A variety of interesting exercises in each chapter helps students understand and manipulate the objects of linear algebra. This second edition includes a new section on orthogonal projections and minimization problems. The sections on self-adjoint operators, normal operators, and the spectral theorem have been rewritten. New examples and new exercises have been added, several proofs have been simplified, and hundreds of minor improvements have been made throughout the text.

First Aid for the USMLE Step 1 2020


Tao Le - 2020
    Packed with insider advice for students from students, First Aid for the USMLE(R) Step 1 2020 will help maximize your study time.FeaturesA complete framework for USMLE Step 1 preparation1,300+ must-know topics with mnemonics to focus your study1,000+ color photos and illustrations to help you visualize processes, disorders, and clinical findingsRapid Review section presents high-yield tables associating diseases with their clinical findings, treatments, and pathophysiologyUpdated every year to ensure all content is relevant and high-yield, reflecting the most current USMLE blueprint

Human Anatomy & Physiology Laboratory Manual, Cat Version [With Physioex, Version 8 Laboratory Simulations in Psyc]


Elaine N. Marieb - 1989
    Known for its thorough, clearly-written exercises, full-color art, and tear-out review sheets, this lab manual gives you a hands-on laboratory experience. It is also accompanied by an interactive website built specifically for the A&P lab course that features pre-lab and post-lab quizzes for every exercise, Practice Anatomy Lab(TM) 2.0, and PhysioEx(TM) 8.0. This latest edition features brand-new pre-lab quizzes at the beginning of each exercise. This new lab manual also features a brand-new art program that uses rich vibrant colors, 3D realistic rendering, and many new histology and cadaver photos.

Probably Approximately Correct: Nature's Algorithms for Learning and Prospering in a Complex World


Leslie Valiant - 2013
    We nevertheless muddle through even in the absence of theories of how to act. But how do we do it?In Probably Approximately Correct, computer scientist Leslie Valiant presents a masterful synthesis of learning and evolution to show how both individually and collectively we not only survive, but prosper in a world as complex as our own. The key is “probably approximately correct” algorithms, a concept Valiant developed to explain how effective behavior can be learned. The model shows that pragmatically coping with a problem can provide a satisfactory solution in the absence of any theory of the problem. After all, finding a mate does not require a theory of mating. Valiant’s theory reveals the shared computational nature of evolution and learning, and sheds light on perennial questions such as nature versus nurture and the limits of artificial intelligence.Offering a powerful and elegant model that encompasses life’s complexity, Probably Approximately Correct has profound implications for how we think about behavior, cognition, biological evolution, and the possibilities and limits of human and machine intelligence.

Planning, Implementing, and Evaluating Health Promotion Programs: A Primer


James F. McKenzie - 1992
    The Fifth Edition features updated information throughout, including new theories and models such as the Healthy Action Process Approach (HAPA) and the Community Readiness Model (CRM), sections on grant writing and preparing a budget, real-life examples of marketing principles and processes, and a new classification system for evaluation approaches and designs. Health Education, Health Promotion, Health Educators, and Program Planning, Models for Program Planning in Health Promotion, Starting the Planning Process, Assessing Needs, Measurement, Measures, Measurement Instruments and Sampling, Mission Statement, Goals, and Objectives, Theories and Models Commonly Used for Health Promotion Interventions, Interventions, Community Organizing and Community Building, Identification and Allocation of Resources, Marketing: Making Sure Programs Respond to Wants and Needs of Consumers, Implementation: Strategies and Associated Concerns, Evaluation: An Overview, Evaluation Approaches and Designs, Data Analysis and Reporting. Intended for those interested in learning the basics of planning, implementing, and evaluating health promotion programs

New GRE 2011-2012 Premier with CD-ROM


Kaplan Test Prep - 2011
    With an increasing number of graduate and business school applicants and an increasing number of GRE test-takers—now a complete test overhaul by the test-maker—a high GRE score is critical to set yourself apart from the competition.New GRE 2011-2012 Premier with CD-ROM is a comprehensive package that includes a book, CD-ROM, and online companion with in-depth strategies, test information, and practice questions to help students score higher on the new GRE Revised General Test. New GRE 2011-2012 Premier with CD-ROM is fully updated and revised with 75 percent all-new content covering the revised and expanded Verbal, Quantitative, and Analytical Writing Assessment Test sections, including 50 percent new practice questions and brand new strategies for each of the new question types.New GRE 2011-2012 Premier with CD-ROM features:6 full-length practice tests (1 in the book, 5 online)400 practice questions and answer explanations on the CD-ROMA detailed overview of the test changesKey strategies for all New GRE question typesDetails and practice sets for the Verbal and Quantitative sectionsDiagnostic tool in end-of-chapter practice sets for even more targeted practiceAdvice for the graduate school application processKaplan guarantees that readers will score higher on the GRE Revised General Test using our guide—or get their money back.