In A Mathematician Plays the Stock Market , best-selling author John Allen Paulos employs his trademark stories, vignettes, paradoxes, and puzzles to address every thinking reader's curiosity about the market -- Is it efficient? Is it random? Is there anything to technical analysis, fundamental analysis, and other supposedly time-tested methods of picking stocks? How can one quantify risk? What are the most common scams? Are there any approaches to investing that truly outperform the major indexes? But Paulos's tour through the irrational exuberance of market mathematics doesn't end there. An unrequited (and financially disastrous) love affair with WorldCom leads Paulos to question some cherished ideas of personal finance. He explains why "data mining" is a self-fulfilling belief, why "momentum investing" is nothing more than herd behavior with a lot of mathematical jargon added, why the ever-popular Elliot Wave Theory cannot be correct, and why you should take Warren Buffet's "fundamental analysis" with a grain of salt. Like Burton Malkiel's A Random Walk Down Wall Street , this clever and illuminating book is for anyone, investor or not, who follows the markets -- or knows someone who does.

    This is not the same as “doing math.” The latter usually involves the application of formulas, procedures, and symbolic manipulations; mathematical thinking is a powerful way of thinking about things in the world -- logically, analytically, quantitatively, and with precision. It is not a natural way of thinking, but it can be learned. Mathematicians, scientists, and engineers need to “do math,” and it takes many years of college-level education to learn all that is required. Mathematical thinking is valuable to everyone, and can be mastered in about six weeks by anyone who has completed high school mathematics. Mathematical thinking does not have to be about mathematics at all, but parts of mathematics provide the ideal target domain to learn how to think that way, and that is the approach taken by this short but valuable book. The book is written primarily for first and second year students of science, technology, engineering, and mathematics (STEM) at colleges and universities, and for high school students intending to study a STEM subject at university. Many students encounter difficulty going from high school math to college-level mathematics. Even if they did well at math in school, most are knocked off course for a while by the shift in emphasis, from the K-12 focus on mastering procedures to the “mathematical thinking” characteristic of much university mathematics. Though the majority survive the transition, many do not. To help them make the shift, colleges and universities often have a “transition course.” This book could serve as a textbook or a supplementary source for such a course. Because of the widespread applicability of mathematical thinking, however, the book has been kept short and written in an engaging style, to make it accessible to anyone who seeks to extend and improve their analytic thinking skills. Going beyond a basic grasp of analytic thinking that everyone can benefit from, the STEM student who truly masters mathematical thinking will find that college-level mathematics goes from being confusing, frustrating, and at times seemingly impossible, to making sense and being hard but doable. Dr. Keith Devlin is a professional mathematician at Stanford University and the author of 31 previous books and over 80 research papers. His books have earned him many awards, including the Pythagoras Prize, the Carl Sagan Award, and the Joint Policy Board for Mathematics Communications Award. He is known to millions of NPR listeners as “the Math Guy” on Weekend Edition with Scott Simon. He writes a popular monthly blog “Devlin’s Angle” for the Mathematical Association of America, another blog under the name “profkeithdevlin”, and also blogs on various topics for the Huffington Post.

    Mitchell covers the field of machine learning, the study of algorithms that allow computer programs to automatically improve through experience and that automatically infer general laws from specific data.

    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

    In Pricing the Future, financial economist George G. Szpiro tells the fascinating stories of the pioneers of mathematical finance who conducted the search for the elusive options pricing formula. From the broker’s assistant who published the first mathematical explanation of financial markets to Albert Einstein and other scientists who looked for a way to explain the movement of atoms and molecules, Pricing the Future retraces the historical and intellectual developments that ultimately led to the widespread use of mathematical models to drive investment strategies on Wall Street.

    Jon Bailey and Mary Burch present five basic skills and strategy areas that professional behavior analysts need to acquire. This book is organized around those five areas, with a total of 25 specific skills presented within those topics. Every behavior analyst, whether seasoned or beginning, should have this book.

    Anyone involved in the work or study of today's tourism industry must consider all these factors together and their effect on it.This updated and revised Eleventh Edition of Tourism presents a comprehensive introduction to travel and tourism, while continuing the tested approach of successful previous editions. New and revised coverage, integrating the latest developments in the tourism industry, includes:Profiles of such industry leaders as J. W. Marriott, Jr, of Marriott International, Inc., James Rasulo of Walt Disney Parks and Resorts, and Francesco Frangialli, Secretary-General of the United Nations World Tourism Organization Lively and fun "Global Insights" look at emerging areas of importance in tourism Demographic trends, such as how the many new travelers from BRIC nations (Brazil, Russia, India, and China) recreate and seek culture New information on transportation options, including high-speed rail and river cruises New consideration of the use of the Internet, particularly Web 2.0 (podcasting, social networks, and blogs), in tourism research, marketing, and promotion Updates on passport, visa, and governmental policies Expanded treatment of crisis management Moving easily between theory and practice, Tourism, Eleventh Edition offers an unparalleled discussion of recreational travel today, and is suitable both as a lively learning tool for students and a reliable go-to reference for tourism professionals.

    The book introduces a wide variety of models, whilst at the same time instructing the reader in how to fit these models using available software packages. The book illustrates the concepts by working through scores of real data examples that have arisen from the authors' own applied research, with programming codes provided for each one. Topics covered include causal inference, including regression, poststratification, matching, regression discontinuity, and instrumental variables, as well as multilevel logistic regression and missing-data imputation. Practical tips regarding building, fitting, and understanding are provided throughout. Author resource page: http: //www.stat.columbia.edu/ gelman/arm/

    Just read this till the end You don’t have to buy this book. Just read this till end & you will learn something that will change the way you do math forever. Warning: I am revealing this secret only to the first set of readers who will buy this book & plan to put this secret back inside the book once I have enough sales. So read this until the very end while you still can.School taught you the wrong way to do mathThe way you were taught to do math, uses a lot of working memory. Working memory is the short term memory used to complete a mental task. You struggle because trying to do mental math the way you were taught in school, overloads your working memory. Let me show you what I mean with an example:Try to multiply the 73201 x 3. To do this you multiply the following:1 x 3 =0 x 3 =2 x 3 =3 x 3 =7 x 3 =This wasn’t hard, & it might have taken you just seconds to multiply the individual numbers. However, to get the final answer, you need to remember every single digit you calculated to put them back together. It takes effort to get the answer because you spend time trying to recall the numbers you already calculated. Math would be easier to do in your head if you didn’t have to remember so many numbers. Imagine when you tried to multiply 73201 x 3, if you could have come up with the answer, in the time it took you to multiply the individual numbers. Wouldn’t you have solved the problem faster than the time it would have taken you to punch in the numbers inside a calculator? Do the opposite of what you were taught in schoolThe secret of doing mental math is to calculate from left to right instead of from right to left. This is the opposite of what you were taught in school. This works so well because it frees your working memory almost completely. It is called the LR Method where LR stands for Left to Right.Lets try to do the earlier example where we multiplied 73201 x 3. This time multiply from left to right, so we get:7 x 3 = 213 x 3 = 93 x 2 = 60 x 3 = 03 x 1 = 3Notice that you started to call out the answer before you even finished the whole multiplication problem. You don’t have to remember a thing to recall & use later. So you end up doing math a lot faster. The Smart ChoiceYou could use what you learnt & apply it to solve math in the future. This might not be easy, because we just scratched the surface. I've already done the work for you. Why try to reinvent the wheel, when there is already a proven & tested system you can immediately apply. This book was first available in video format & has helped 10,000+ students from 132 countries. It is available at ofpad.com/mathcourse to enroll. This book was written to reach students who consume the information in text format. You can use the simple techniques in this book to do math faster than a calculator effortlessly in your head, even if you have no aptitude for math to begin with.Imagine waking up tomorrow being able to do lightning fast math in your head. Your family & friends will look at you like you are some kind of a genius. Since calculations are done in your head, you will acquire better mental habits in the process. So you will not just look like a genius. You will actually be one. Limited Time BonusWeekly training delivered through email for $97 is available for free as a bonus at the end of this book for the first set of readers. Once we have enough readers, this bonus will be charged $97. Why Price Is So LowThis book is priced at a ridiculous discount only to get our first set of readers. When we have enough readers the price will go up.

    You'll find complete coverage of all exam objectives, including key topics such as project planning, execution, delivery, closure, and others. CompTIA's Project+ is the foundation-level professional exam in the complex world of project management; certified project managers often choose to go on and obtain their Project Management Professional (PMP) certifications as well Provides complete coverage of all exam objectives for CompTIA's first update to the Project+ exam in six years Covers project planning, execution, delivery, change, control, communication, and closure Demonstrates and reinforces exam preparation with practical examples and real-word scenarios Includes a CD with Sybex test engine, practice exams, electronic flashcards, and a PDF of the book Approach the new Project+ exam with confidence with this in-depth study guide! Reviews

    Many people simply do not understand what it is, how to avoid it, and what can be done to help the holy souls there. For most Catholics, it's been years since their catechism training and they simply forgot what was taught. Purgatory 101 will bring back the knowledge that you forgot. It will show what Purgatory is and how you can help yourself and the holy souls. Armed with knowledge, you can make a positive difference for the suffering saints in Purgatory.

    Tom Hayes, a brilliant but troubled mathematician, became the lynchpin of a wild alliance that included a prickly French trader nicknamed “Gollum”; the broker “Abbo,” who liked to publicly strip naked when drinking; a nervous Kazakh chicken farmer known as “Derka Derka”; a broker known as “Village” (short for “Village Idiot”) who racked up huge expense account bills; an executive called “Clumpy” because of his patchwork hair loss; and a broker uncreatively nicknamed “Big Nose” who had once been a semi-professional boxer. This group generated incredible riches —until it all unraveled in spectacularly vicious, backstabbing fashion.With exclusive access to key characters and evidence, The Spider Network is not only a rollicking account of the scam, but also a provocative examination of a financial system that was crooked throughout.

    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.

    You've reached major milestones and accumulated more assets than you dreamed possible, and yet you hesitate. “Can I retire?” This book will help answer that question by showing you…. The tools you need to live a secure and independent retirement, without worrying about money What you must know before leaving a career behind How much it will cost you to live in retirement, and how to manage your cash flow The current choices for retirement health care, including lesser-known but effective options The threat from inflation: two secrets that politicians and bankers will never admit A realistic assessment of the impact that income taxes will have on your retirement Social Security’s role in your retirement: when you should claim and how much it’s worth to you How to construct and manage an investment portfolio for income and growth in retirement About immediate annuities and why you need multiple sources of retirement income The key variables and unknowns in your retirement withdrawal equation Reviews of the best retirement calculators, and tips for how to use them accurately Beyond the simplistic 4% Rule to the latest research on safe withdrawal rates Realistic bracketing of your retirement savings needs, without over caution or overconfidence The history of economic cycles and the related asset classes for optimal retirement security A survey of strategies plus original research for how to orchestrate your retirement distributions A practical retirement fuel gauge alerting you to problems while you still have time to act Backup plans: the lifeboat strategies for ensuring you'll never be without essential income The 6 crucial questions to answer before you can retire The one, simple, powerful, non-financial reason that you can and should retire earlier than later

    The whirlwind of job applications, interviews, follow-up, resume building, and networking is just the beginning. What happens after you've landed the job, settled in, and begun to make a difference-where do you go from here? What if you feel stuck in what you thought would be your dream profession? New York Times bestselling author Mika Brzezinski and producer Daniela Pierre-Bravo provide an essential manual for those crucial next steps. Earn It! is a practical career guidebook that not only helps you get your foot in the door; it also shows you how to negotiate a raise, advocate for more responsibility, and figure out whether you're in the career that's right for you. A blueprint for your future success, Earn It! features insightful and inspiring interviews with leaders in media, fashion, and business, recruiters, HR, execs, and kickass young female entrepreneurs like Danielle Weisberg and Carly Zakin of theSkimm, Vimeo CEO Anjali Sud, and Jane Park, founder of the cosmetic subscription company Julep