Learn about a variety of reading and memory techniques, including a five-step strategy that will enable you to read any non-fiction material easily and lots of tips and author insights into making life easier for you!

    Many designers and researchers view usability and design as qualitative activities, which do not require attention to formulas and numbers. However, usability practitioners and user researchers are increasingly expected to quantify the benefits of their efforts. The impact of good and bad designs can be quantified in terms of conversions, completion rates, completion times, perceived satisfaction, recommendations, and sales.The book discusses ways to quantify user research; summarize data and compute margins of error; determine appropriate samples sizes; standardize usability questionnaires; and settle controversies in measurement and statistics. Each chapter concludes with a list of key points and references. Most chapters also include a set of problems and answers that enable readers to test their understanding of the material. This book is a valuable resource for those engaged in measuring the behavior and attitudes of people during their interaction with interfaces.

    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

    New emphasis has been given to complexity, networks, and patterns of organisation, leading to a novel kind of 'systemic' thinking. This volume integrates the ideas, models, and theories underlying the systems view of life into a single coherent framework. Taking a broad sweep through history and across scientific disciplines, the authors examine the appearance of key concepts such as autopoiesis, dissipative structures, social networks, and a systemic understanding of evolution. The implications of the systems view of life for health care, management, and our global ecological and economic crises are also discussed. Written primarily for undergraduates, it is also essential reading for graduate students and researchers interested in understanding the new systemic conception of life and its implications for a broad range of professions - from economics and politics to medicine, psychology and law.

    Gigabytes, exabytes (that’s one quintillion bytes) of data are sitting on servers across the world. So how can we start to access this explosion of information, this “big data,” and what can it tell us?   Erez Aiden and Jean-Baptiste Michel are two young scientists at Harvard who started to ask those questions. They teamed up with Google to create the Ngram Viewer, a Web-based tool that can chart words throughout the massive Google Books archive, sifting through billions of words to find fascinating cultural trends. On the day that the Ngram Viewer debuted in 2010, more than one million queries were run through it.   On the front lines of Big Data, Aiden and Michel realized that this big dataset—the Google Books archive that contains remarkable information on the human experience—had huge implications for looking at our shared human history. The tool they developed to delve into the data has enabled researchers to track how our language has evolved over time, how art has been censored, how fame can grow and fade, how nations trend toward war. How we remember and how we forget. And ultimately, how Big Data is changing the game for the sciences, humanities, politics, business, and our culture.

    This work is designed to help students understand the field of banking from the perspective of both a bank customer as well as a bank manager. It provides a description of the banking industry.

    “Big data” refers to our burgeoning ability to crunch vast collections of information, analyze it instantly, and draw sometimes profoundly surprising conclusions from it. This emerging science can translate myriad phenomena—from the price of airline tickets to the text of millions of books—into searchable form, and uses our increasing computing power to unearth epiphanies that we never could have seen before. A revolution on par with the Internet or perhaps even the printing press, big data will change the way we think about business, health, politics, education, and innovation in the years to come. It also poses fresh threats, from the inevitable end of privacy as we know it to the prospect of being penalized for things we haven’t even done yet, based on big data’s ability to predict our future behavior.In this brilliantly clear, often surprising work, two leading experts explain what big data is, how it will change our lives, and what we can do to protect ourselves from its hazards. Big Data is the first big book about the next big thing.www.big-data-book.com

    

    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

    Polya, How to Solve It will show anyone in any field how to think straight. In lucid and appealing prose, Polya reveals how the mathematical method of demonstrating a proof or finding an unknown can be of help in attacking any problem that can be reasoned out--from building a bridge to winning a game of anagrams. Generations of readers have relished Polya's deft--indeed, brilliant--instructions on stripping away irrelevancies and going straight to the heart of the problem.

    You don't need to read and memorize a book that is 200 pages long for it to be effective. You don’t need to dress in sexy lingerie, be a femme fatale or force yourself to love and participate in shooting pool or hunting wild animals to win or keep your man's affection. You don’t need to change who and what you are to attract a man, keep a man or get him to change. ALL you need is this short instructional guide with my “secret technique” to have him eating out of the palm of your hand ANYTIME you want. Unlike most “self help” books that give you a laundry list of ways you can change to “attract” and keep a man this book will give you a technique that is simple, fast and powerful. It is not a “flirting” technique or a kinky “sexual” position…it is an amazing technique that will literally allow you to control your man’s behavior. That’s right…control his behavior and therefore his thoughts, actions and deeds. Anytime you want! I know this sound too good to be true but it is true. I assure you that there is no way you can understand how powerful this technique is until you try it and then you will be amazed at how fast it works. It is truly magic! This “secret technique” is so powerful that I do not want ANY men to ever read this book! If I could prevent men from buying or reading this book I would do it in a heartbeat. There are certain secrets that women should never divulge to men and this is one of the most powerful. I have used this technique for years and have seen it work in a matter of minutes. I used it on my ex-boyfriend John and if it can work on a stubborn, non-believing, narcissist like him it will work on ANY MAN. A friend used it on her boyfriend to get him to tell her the truth and all he kept saying was "I don't know why I am telling you all the things that I am telling you!" He meant it! He had no control over what he was doing because she controlled his actions. I love books like "Why Men Love Bitches" and "The Power of Pussy" but this book will give you a technique that is unique and powerful....a technique you can use any time, any place and on any one. Go ahead, "Pussy Whip" your man and have him love every minute of it! Lanie Stevens is also the author of: Lustful Lanie Book One Lustful Lanie Book Two Lustful Lanie Book Three

    . . a most valuable contribution." — Douglas R. Hofstadter, author of Gödel, Escher, BachThe foundations of game theory were laid by John von Neumann, who in 1928 proved the basic minimax theorem, and with the 1944 publication of the Theory of Games and Economic Behavior, the field was established. Since then, game theory has become an enormously important discipline because of its novel mathematical properties and its many applications to social, economic, and political problems.Game theory has been used to make investment decisions, pick jurors, commit tanks to battle, allocate business expenses equitably — even to measure a senator's power, among many other uses. In this revised edition of his highly regarded work, Morton Davis begins with an overview of game theory, then discusses the two-person zero-sum game with equilibrium points; the general, two-person zero-sum game; utility theory; the two-person, non-zero-sum game; and the n-person game.A number of problems are posed at the start of each chapter and readers are given a chance to solve them before moving on. (Unlike most mathematical problems, many problems in game theory are easily understood by the lay reader.) At the end of the chapter, where solutions are discussed, readers can compare their "common sense" solutions with those of the author. Brimming with applications to an enormous variety of everyday situations, this book offers readers a fascinating, accessible introduction to one of the most fruitful and interesting intellectual systems of our time.

    Informative yet so much fun to read!" Nassim Nicholas Taleb – author of The Black Swan "Easy-to-digest and highly competent. If everyone were to read this book, the world would become a more enlightened place." Gerd Gigerenzer – author of Gut Feelings: The Intelligence of the Unconsious Uneasy with how chance determines a huge part of our lives, we try to control what cannot be controlled and predict what cannot be predicted. It’s a self-delusion that can have serious consequences for our personal finances, careers, happiness and health. Dance with Chance explains how we all fall foul of this “Illusion of Control.” Fortunately, when we understand how luck operates, we can lessen its ill effects. By learning when to cede control over certain aspects of our life, paradoxically, we gain more control. By making small changes to our lifestyle, we can make a huge difference to the things that matter to us. From simple investment strategies to warning against health screenings, the authors offer revolutionary and often counterintuitive advice to make luck work for you. You’ll find out why millions of deaths are caused each year by medical negligence and why a billionaire is no happier than an Eskimo. You’ll discover why no-one predicted the worst financial crisis since the great depression and what makes a sports star. Witty, inventive, and informed by the latest findings in psychology and statistics, Dance with Chance is an essential guide to navigating the uncertain world in which we live. Spyros Makridakis is Distinguished Research Professor at INSEAD, Abu Dhabi Centre and a former Greek Olympian. Robin M. Hogarth is ICREA Research Professor at Universitat Pompeu Fabra, Spain. He was formerly a professor at the University of Chicago’s Graduate School of Business. Anil Gaba is the ORPAR Chaired Professor of Risk Management and Dean of Faculty at INSEAD, France and Singapore, the world’s second largest business school.

    Even the simplest numbers can become powerful forces when manipulated by politicians or the media, but in the case of the law, your liberty -- and your life -- can depend on the right calculation. In Math on Trial, mathematicians Leila Schneps and Coralie Colmez describe ten trials spanning from the nineteenth century to today, in which mathematical arguments were used -- and disastrously misused -- as evidence. They tell the stories of Sally Clark, who was accused of murdering her children by a doctor with a faulty sense of calculation; of nineteenth-century tycoon Hetty Green, whose dispute over her aunt's will became a signal case in the forensic use of mathematics; and of the case of Amanda Knox, in which a judge's misunderstanding of probability led him to discount critical evidence -- which might have kept her in jail. Offering a fresh angle on cases from the nineteenth-century Dreyfus affair to the murder trial of Dutch nurse Lucia de Berk, Schneps and Colmez show how the improper application of mathematical concepts can mean the difference between walking free and life in prison. A colorful narrative of mathematical abuse, Math on Trial blends courtroom drama, history, and math to show that legal expertise isn't't always enough to prove a person innocent.

    It is the basis for a new approach to artificial intelligence that aims to program computers to use example data or past experience to solve a given problem. In this volume in the MIT Press Essential Knowledge series, Ethem Alpayd�n offers a concise and accessible overview of the new AI. This expanded edition offers new material on such challenges facing machine learning as privacy, security, accountability, and bias. Alpayd�n, author of a popular textbook on machine learning, explains that as Big Data has gotten bigger, the theory of machine learning--the foundation of efforts to process that data into knowledge--has also advanced. He describes the evolution of the field, explains important learning algorithms, and presents example applications. He discusses the use of machine learning algorithms for pattern recognition; artificial neural networks inspired by the human brain; algorithms that learn associations between instances; and reinforcement learning, when an autonomous agent learns to take actions to maximize reward. In a new chapter, he considers transparency, explainability, and fairness, and the ethical and legal implications of making decisions based on data.