The New Manager's Handbook: 24 Lessons for Mastering Your New Role


Morey Stettner - 2002
    From difficult employees to demanding bosses, you never know where your next problem is coming from. What you do know is that you'll be expected to solve that problem--and solve it quickly and effectively.The New Manager's Handbook explains the rules of this new game, and gives you invaluable tips and pointers for teaming with your employees while inspiring them to breakthrough performance and results. Let the two dozen rules and guidelines in this quick-hitting manual show you the best ways to:DelegateReview performanceThink strategicallyLead great meetingsGive and get results-oriented feedbackProvide directionSpeak with powerCriticize with honesty and tactAsk the right questionsMotivate average performersPrepare for changeAs a new manager in today's no-room-for-error workplace, you will be challenged and tested every day. Unlike previous positions, however, your success will judged by the performance of others. Give yourself every opportunity to succeed, and learn how to win the respect of both your employees and your supervisors, with the time-tested and field-proven techniques in The New Manager's Handbook.

Linear Algebra and Its Applications [with CD-ROM]


David C. Lay - 1993
    

Practical Algebra: A Self-Teaching Guide


Peter H. Selby - 1974
    Practical Algebra is an easy andfun-to-use workout program that quickly puts you in command of allthe basic concepts and tools of algebra. With the aid of practical, real-life examples and applications, you'll learn: * The basic approach and application of algebra to problemsolving * The number system (in a much broader way than you have known itfrom arithmetic) * Monomials and polynomials; factoring algebraic expressions; howto handle algebraic fractions; exponents, roots, and radicals;linear and fractional equations * Functions and graphs; quadratic equations; inequalities; ratio, proportion, and variation; how to solve word problems, andmore Authors Peter Selby and Steve Slavin emphasize practical algebrathroughout by providing you with techniques for solving problems ina wide range of disciplines--from engineering, biology, chemistry, and the physical sciences, to psychology and even sociology andbusiness administration. Step by step, Practical Algebra shows youhow to solve algebraic problems in each of these areas, then allowsyou to tackle similar problems on your own, at your own pace.Self-tests are provided at the end of each chapter so you canmeasure your mastery.

Games of Strategy


Avinash K. Dixit - 1999
    The physical sciences and engineering claim to be the basis of modern technology and therefore of modern life; the social sciences discuss big issues of governance, for example, democracy and taxation; the humanities claim that they revive your soul after it has been deadened by exposure to the physical and social sciences and to engineering. Where does the subject "games of strategy," often also called game theory, fit into this picture, and why should you study it? Dixit and Skeath's Games of Strategy offers a practical motivation much more individual and closer to your personal concerns than most other subjects. You play games of strategy all the time: with your parents, siblings, friends, enemies, even with your professors. You have probably acquired a lot of instinctive expertise, and we hope you will recognize in what follows some of the lessons you have already learned. This book's authors will build on this experience, systematize it, and develop it to the point where you will be able to improve your strategic skills and use them more methodically. Opportunities for such uses will appear throughout the rest of your life; you will go on playing such games with your employers, employees, spouses, children, and even strangers. Not that the subject lacks wider importance. Similar games are played in business, politics, diplomacy, wars--in fact, whenever people interact to strike mutually agreeable deals or to resolve conflicts. Being able to recognize such games will enrich your understanding of the world around you, and will make you a better participant in all its affairs.

Epidemiology: An Introduction


Kenneth J. Rothman - 2002
    These areas of knowledge have converged into a modern theory of epidemiology that has been slow to penetrate into textbooks, particularly at the introductory level. Epidemiology: An Introduction closes the gap. It begins with a brief, lucid discussion of causal thinking and causal inference and then takes the reader through the elements of epidemiology, focusing on the measures of disease occurrence and causal effects. With these building blocks in place, the reader learns how to design, analyze and interpret problems that epidemiologists face, including confounding, the role of chance, and the exploration of interactions. All these topics are layered on the foundation of basic principles presented in simple language, with numerous examples and questions for further thought.

Services Marketing: People, Technology, Strategy


Christopher Lovelock - 1991
    Organized around a strategic marketing framework"Services Marketing" guides readers into the consumer and competitive environments in services marketing. The marketing framework has been restructured for this edition to reflect what is happening in services marketing today.

Staffing Organizations


Herbert G. Heneman III - 1994
    This work contains components of the model, which include staffing models and strategy, staffing support systems (legal compliance, planning, job analysis and rewards), core staffing systems (recruitment, selection, employment), and staffing system and retention management.

The Drunkard's Walk: How Randomness Rules Our Lives


Leonard Mlodinow - 2008
    From the classroom to the courtroom and from financial markets to supermarkets, Mlodinow's intriguing and illuminating look at how randomness, chance, and probability affect our daily lives will intrigue, awe, and inspire.

Data Science from Scratch: First Principles with Python


Joel Grus - 2015
    In this book, you’ll learn how many of the most fundamental data science tools and algorithms work by implementing them from scratch. If you have an aptitude for mathematics and some programming skills, author Joel Grus will help you get comfortable with the math and statistics at the core of data science, and with hacking skills you need to get started as a data scientist. Today’s messy glut of data holds answers to questions no one’s even thought to ask. This book provides you with the know-how to dig those answers out. Get a crash course in Python Learn the basics of linear algebra, statistics, and probability—and understand how and when they're used in data science Collect, explore, clean, munge, and manipulate data Dive into the fundamentals of machine learning Implement models such as k-nearest Neighbors, Naive Bayes, linear and logistic regression, decision trees, neural networks, and clustering Explore recommender systems, natural language processing, network analysis, MapReduce, and databases

Netter's Anatomy Flash Cards [with Student Consult Online Access]


John T. Hansen - 2011
    This 4th Edition contains full-color illustrations from Netter's Atlas of Human Anatomy, 6th Edition paired with concise text identifying those structures and reviewing relevant anatomical information and clinical correlations. Online access at studentconsult lets you review anatomy from any computer, plus additional "bonus" cards and over 300 multiple-choice questions.A perfect study aid and complement to Netter's Clinical Anatomy, 3rd Edition?concise text and the Netter/Atlas of Human Anatomy, 6th Edition.Netter. It's how you know.

Mostly Harmless Econometrics: An Empiricist's Companion


Joshua D. Angrist - 2008
    In the modern experimentalist paradigm, these techniques address clear causal questions such as: Do smaller classes increase learning? Should wife batterers be arrested? How much does education raise wages? Mostly Harmless Econometrics shows how the basic tools of applied econometrics allow the data to speak.In addition to econometric essentials, Mostly Harmless Econometrics covers important new extensions--regression-discontinuity designs and quantile regression--as well as how to get standard errors right. Joshua Angrist and Jorn-Steffen Pischke explain why fancier econometric techniques are typically unnecessary and even dangerous. The applied econometric methods emphasized in this book are easy to use and relevant for many areas of contemporary social science.An irreverent review of econometric essentials A focus on tools that applied researchers use most Chapters on regression-discontinuity designs, quantile regression, and standard errors Many empirical examples A clear and concise resource with wide applications

Comprehensive Stress Management


Jerrold S. Greenberg - 1983
    In his informal, anecdotal style, author Jerrold Greenberg introduces and discusses the latest research findings on the physical, psychological, and spiritual aspects of stress.

Rich Dad's Real Estate Advantages: Tax and Legal Secrets of Successful Real Estate Investors


Sharon L. Lechter - 2006
    Three in the series, Real Estate Riches, Loopholes of the Rich, and Real Estate Loopholes, became The Wall Street Journal bestsellers.- Garrett Sutton is an attorney with over 20 years of experience in assisting individuals and businesses to determine their appropriate corporate structure, limit their liability, protect their assets, and advance their personal and financial goals.- Each Rich Dad's Advisors ABC's book features a foreword by Robert T. Kiyosaki, bestselling author of Rich Dad Poor Dad.

Programming Collective Intelligence: Building Smart Web 2.0 Applications


Toby Segaran - 2002
    With the sophisticated algorithms in this book, you can write smart programs to access interesting datasets from other web sites, collect data from users of your own applications, and analyze and understand the data once you've found it.Programming Collective Intelligence takes you into the world of machine learning and statistics, and explains how to draw conclusions about user experience, marketing, personal tastes, and human behavior in general -- all from information that you and others collect every day. Each algorithm is described clearly and concisely with code that can immediately be used on your web site, blog, Wiki, or specialized application. This book explains:Collaborative filtering techniques that enable online retailers to recommend products or media Methods of clustering to detect groups of similar items in a large dataset Search engine features -- crawlers, indexers, query engines, and the PageRank algorithm Optimization algorithms that search millions of possible solutions to a problem and choose the best one Bayesian filtering, used in spam filters for classifying documents based on word types and other features Using decision trees not only to make predictions, but to model the way decisions are made Predicting numerical values rather than classifications to build price models Support vector machines to match people in online dating sites Non-negative matrix factorization to find the independent features in a dataset Evolving intelligence for problem solving -- how a computer develops its skill by improving its own code the more it plays a game Each chapter includes exercises for extending the algorithms to make them more powerful. Go beyond simple database-backed applications and put the wealth of Internet data to work for you. "Bravo! I cannot think of a better way for a developer to first learn these algorithms and methods, nor can I think of a better way for me (an old AI dog) to reinvigorate my knowledge of the details."-- Dan Russell, Google "Toby's book does a great job of breaking down the complex subject matter of machine-learning algorithms into practical, easy-to-understand examples that can be directly applied to analysis of social interaction across the Web today. If I had this book two years ago, it would have saved precious time going down some fruitless paths."-- Tim Wolters, CTO, Collective Intellect

Career Paths in Psychology: Where Your Degree Can Take You


Robert J. Sternberg - 1997
    In this comprehensive anthology, authors selected for their distinction in their chosen careers offer their professional - and personal - perspectives on 19 different graduate-level careers in psychology. Few fields of study offer more career opportunities than does psychology, and readers will find thoughtful discussions, leavened with tips and insights gained from personal experience, on the full range, including (to name only a few) academia, clinical psychology, health and school psychology, clinical neuropsychology, and government service. Each chapter discusses the nature of the career, its advantages and disadvantages, how to prepare for it, typical activities, ranges of financial compensation, opportunities for employment, and the personal attributes needed for success in the career. realities, challenges, and rewards of each career that the lab or lecture hall rarely provides. Reprinted eight times since the publication of the first edition in 1997, Career Paths in Psychology is recognized as the go-to sourcebook for anyone seeking a candid portrait of different careers in this ever-changing field. The second edition has been expanded (discussions of five new careers added) and updated to reflect current trends and changes in the field.