But traditional capitalism cannot solve problems like inequality and poverty, because it is hampered by a narrow view of human nature in which people are one-dimensional beings concerned only with profit. In fact, human beings have many other drives and passions, including the spiritual, the social, and the altruistic. Welcome to the world of social business, where the creative vision of the entrepreneur is applied to today's most serious problems: feeding the poor, housing the homeless, healing the sick, and protecting the planet.Creating a World Without Poverty tells the stories of some of the earliest examples of social businesses, including Yunus's own Grameen Bank. It reveals the next phase in a hopeful economic and social revolution that is already under way--and in the worldwide effort to eliminate poverty by unleashing the productive energy of every human being.

    Throughout the writing process of this edition, the authors worked closely with a developmental editor to help ensure the text is student-friendly and even more responsive to the variety of learning styles. The text is enriched with real-world examples and illustrations from a variety of business environments. Futhermore, the text's new, four-color design allows instructors a high degree of flexibility and emphasis.

    Essentially, you make an initial guess, and then get more data to improve it. Bayes Theorem, or Bayes Rule, has a ton of real world applications, from estimating your risk of a heart attack to making recommendations on Netflix But It Isn't That Complicated This book is a short introduction to Bayes Theorem. It is only 15 pages long, and is intended to show you how Bayes Theorem works as quickly as possible. The examples are intentionally kept simple to focus solely on Bayes Theorem without requiring that the reader know complicated probability distributions. If you want to learn the basics of Bayes Theorem as quickly as possible, with some easy to duplicate examples, this is a good book for you.

    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

    It has sold 30,000 copies in each edition and will continue to reach a huge academic audience.In this renowned book, Everett M. Rogers, professor and chair of the Department of Communication & Journalism at the University of New Mexico, explains how new ideas spread via communication channels over time. Such innovations are initially perceived as uncertain and even risky. To overcome this uncertainty, most people seek out others like themselves who have already adopted the new idea. Thus the diffusion process consists of a few individuals who first adopt an innovation, then spread the word among their circle of acquaintances--a process which typically takes months or years. But there are exceptions: use of the Internet in the 1990s, for example, may have spread more rapidly than any other innovation in the history of humankind. Furthermore, the Internet is changing the very nature of diffusion by decreasing the importance of physical distance between people. The fifth edition addresses the spread of the Internet, and how it has transformed the way human beings communicate and adopt new ideas.

    It is written for courses teaching leadership theory and application. The Leadership Experience integrates recent ideas and practices with established scholarly research in a way that makes the topic of leadership come alive.

    But today, success is increasingly dependent on how we interact with others. It turns out that at work, most people operate as either takers, matchers, or givers. Whereas takers strive to get as much as possible from others and matchers aim to trade evenly, givers are the rare breed of people who contribute to others without expecting anything in return. Using his own pioneering research as Wharton's youngest tenured professor, Grant shows that these styles have a surprising impact on success. Although some givers get exploited and burn out, the rest achieve extraordinary results across a wide range of industries. Combining cutting-edge evidence with captivating stories, this landmark book shows how one of America's best networkers developed his connections, why the creative genius behind one of the most popular shows in television history toiled for years in anonymity, how a basketball executive responsible for multiple draft busts transformed his franchise into a winner, and how we could have anticipated Enron's demise four years before the company collapsed - without ever looking at a single number. Praised by bestselling authors such as Dan Pink, Tony Hsieh, Dan Ariely, Susan Cain, Dan Gilbert, Gretchen Rubin, Bob Sutton, David Allen, Robert Cialdini, and Seth Godin-as well as senior leaders from Google, McKinsey, Merck, Estee Lauder, Nike, and NASA - Give and Take highlights what effective networking, collaboration, influence, negotiation, and leadership skills have in common. This landmark book opens up an approach to success that has the power to transform not just individuals and groups, but entire organizations and communities.

    

    This is the loose-leaf version of Educational Psychology by Anita Woolfolk.

    This staggering amount of information—unprecedented in history—can tell us a great deal about who we are—the fears, desires, and behaviors that drive us, and the conscious and unconscious decisions we make. From the profound to the mundane, we can gain astonishing knowledge about the human psyche that less than twenty years ago, seemed unfathomable.Everybody Lies offers fascinating, surprising, and sometimes laugh-out-loud insights into everything from economics to ethics to sports to race to sex, gender and more, all drawn from the world of big data. What percentage of white voters didn’t vote for Barack Obama because he’s black? Does where you go to school effect how successful you are in life? Do parents secretly favor boy children over girls? Do violent films affect the crime rate? Can you beat the stock market? How regularly do we lie about our sex lives and who’s more self-conscious about sex, men or women?Investigating these questions and a host of others, Seth Stephens-Davidowitz offers revelations that can help us understand ourselves and our lives better. Drawing on studies and experiments on how we really live and think, he demonstrates in fascinating and often funny ways the extent to which all the world is indeed a lab. With conclusions ranging from strange-but-true to thought-provoking to disturbing, he explores the power of this digital truth serum and its deeper potential—revealing biases deeply embedded within us, information we can use to change our culture, and the questions we’re afraid to ask that might be essential to our health—both emotional and physical. All of us are touched by big data everyday, and its influence is multiplying. Everybody Lies challenges us to think differently about how we see it and the world.

    Because the computer gathers knowledge from experience, there is no need for a human computer operator to formally specify all the knowledge that the computer needs. The hierarchy of concepts allows the computer to learn complicated concepts by building them out of simpler ones; a graph of these hierarchies would be many layers deep. This book introduces a broad range of topics in deep learning.The text offers mathematical and conceptual background, covering relevant concepts in linear algebra, probability theory and information theory, numerical computation, and machine learning. It describes deep learning techniques used by practitioners in industry, including deep feedforward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and practical methodology; and it surveys such applications as natural language processing, speech recognition, computer vision, online recommendation systems, bioinformatics, and videogames. Finally, the book offers research perspectives, covering such theoretical topics as linear factor models, autoencoders, representation learning, structured probabilistic models, Monte Carlo methods, the partition function, approximate inference, and deep generative models.Deep Learning can be used by undergraduate or graduate students planning careers in either industry or research, and by software engineers who want to begin using deep learning in their products or platforms. A website offers supplementary material for both readers and instructors.

    It focuses on how project management is integral to the organization as a whole. The 5th edition reflects the latest changes found in the practice. Other texts discuss the topics covered in this text but they do not view oversight as the project manager's operating environment, as does Larson/Gray. Resumes of managers will soon be primarily a description of participation in and contributions to projects.

    But what if you could have your computer do them for you?In "Automate the Boring Stuff with Python," you'll learn how to use Python to write programs that do in minutes what would take you hours to do by hand no prior programming experience required. Once you've mastered the basics of programming, you'll create Python programs that effortlessly perform useful and impressive feats of automation to: Search for text in a file or across multiple filesCreate, update, move, and rename files and foldersSearch the Web and download online contentUpdate and format data in Excel spreadsheets of any sizeSplit, merge, watermark, and encrypt PDFsSend reminder emails and text notificationsFill out online formsStep-by-step instructions walk you through each program, and practice projects at the end of each chapter challenge you to improve those programs and use your newfound skills to automate similar tasks.Don't spend your time doing work a well-trained monkey could do. Even if you've never written a line of code, you can make your computer do the grunt work. Learn how in "Automate the Boring Stuff with Python.""

    But, with Max Bazerman's Judgment in Managerial Decision Making, Sixth Edition, you can learn how to overcome those biases to make better managerial decisions. The text examines judgment in a variety of organizational contexts, and provides practical strategies for changing your decision-making processes and improving these processes so that they become part of your permanent behavior. Throughout, you'll findnumerous hands-on decision exercises and examples from the author's extensive executive training experience that will help you enhance the quality of your managerial judgment. Past editions have been used in top universities, in business schools, and in public policy, psychology, and economics classes. In addition, the text has been widely recognized by practitioners in the world of behavioral finance. Revised with two new chapters This Sixth Edition now adds chapters on bounded ethicality (Chapter 8) and bounded awareness (Chapter 11). Both of these chapters are based on Bazerman's recent writing with Dolly Chugh and Mahzarin Banaji. Max H. Bazerman is the Jesse Isidor Straus Professor of Business Administration at the Harvard Business School. In addition, Max is also formally affiliated with the Kennedy School of Government, the Psychology Department, and the Program on Negotiation at Harvard. He is the author or co-author of over 150 research articles and chapters, and the author of numerous other books. Max was named one of the top 30 authors, speakers, and teachers of management by Executive Excellence in each of their two most recent rankings.

    This new edition of Elementary Korean, the most comprehensive and detailed introductory Korean textbook available, offers beginning learners of Korean everything they need to learn the language effectively. Perfect for a first-year university-level course use or the independent language learner. No prior knowledge of the language is necessary. The new format, now with dozens of illustrations, presents Korean vocabulary and Korean grammar in an accessible and understandable manner while extensive conversations and exercises help to reinforce the Korean language and build reading and listening comprehension. This edition includes:An MP3 audio CD and a dedicated website.Rich and highly nuanced examples with brand new illustrations.Detailed but on–technical grammar notes, ample writing exercises with an accompanying answer key.Detailed examples of authentic dialogue.Highly technical grammar notes.Plenty of writing practice.Dialogues, reading texts, and written exercises are in Hangul, the Korean alphabet, so students are quickly able to read and write authentic Korean. Layered lessons are designed to build on each other, making Korean easy to learn from the most popular introductory Korean language textbook available. Included is a revised audio CD that helps learners to speak like a native and a web-based practice component through the University of British Columbia that can help students to learn Korean even beyond the pages of this book. According to the Modern Language Association, enrollment in Korean in American universities is increasing rapidly. Available separately is the companion Elementary Korean Workbook. This helpful workbook will assist you in practicing and polishing your Korean language skills. Each lesson supplements the corresponding lesson in the textbook. There are ten activities per lesson, offering a range of exercises and practice opportunities to enable you to achieve proficiency in everyday, conversational Korean.