Today’s "machine-learning" systems, trained by data, are so effective that we’ve invited them to see and hear for us?and to make decisions on our behalf. But alarm bells are ringing. Recent years have seen an eruption of concern as the field of machine learning advances. When the systems we attempt to teach will not, in the end, do what we want or what we expect, ethical and potentially existential risks emerge. Researchers call this the alignment problem.Systems cull résumés until, years later, we discover that they have inherent gender biases. Algorithms decide bail and parole?and appear to assess Black and White defendants differently. We can no longer assume that our mortgage application, or even our medical tests, will be seen by human eyes. And as autonomous vehicles share our streets, we are increasingly putting our lives in their hands.The mathematical and computational models driving these changes range in complexity from something that can fit on a spreadsheet to a complex system that might credibly be called “artificial intelligence.” They are steadily replacing both human judgment and explicitly programmed software.In best-selling author Brian Christian’s riveting account, we meet the alignment problem’s “first-responders,” and learn their ambitious plan to solve it before our hands are completely off the wheel. In a masterful blend of history and on-the ground reporting, Christian traces the explosive growth in the field of machine learning and surveys its current, sprawling frontier. Readers encounter a discipline finding its legs amid exhilarating and sometimes terrifying progress. Whether they—and we—succeed or fail in solving the alignment problem will be a defining human story.The Alignment Problem offers an unflinching reckoning with humanity’s biases and blind spots, our own unstated assumptions and often contradictory goals. A dazzlingly interdisciplinary work, it takes a hard look not only at our technology but at our culture—and finds a story by turns harrowing and hopeful.

    Appropriate for students from a wide variety of backgrounds, this comprehensive book captures women's own experiences through direct quotations and an emphasis on empirical research. Known for her balance of scholarship and readability, as well as for her inclusion of women from diverse backgrounds, Margaret Matlin continues to lead the way for the Psychology of Women course. Matlin has meticulously updated this edition to reflect the most current research, and continues to exhibit a genuine interest in and understanding of the students for whom the book is written. Her text includes a chapter on old age, and discussions of topics such as welfare issues, pregnancy and women's retirement, which are central in many women's lives, but not consistently covered in other texts.

    

    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

    The text's major theme "Changes, Choices, and Constraints" explores: Contemporary "changes "in families and their structure Impacts on the "choices "that are available to family members ""Constraints ""that often limit our choices Through this approach, students are better able to understand what the research and statistics mean "for themselves"! Marriages and Families balances theoretical and empirical discussions with practical examples and applications. It highlights important contemporary changes in society and the family. This text is written from a sociological perspective and incorporates material from other disciplines: history, economics, social work, psychology, law, biology, medicine, family studies, women's studies, and anthropology. "More about the themes: " "Changes"Examines how recent profound structural and attitudinal changes affect family forms, interpersonal relationships, and raising children. It reaches beyond the traditional discussions to explore racial-ethnic families, single-parent families and gay families as well as the recent scholarship by and about men, fathers, and grandfathers. Contemporary American marriages and families vary greatly in structure, dynamics, and cultural heritage. Thus, discussions of gender roles, social class, race, ethnicity, age, and sexual orientation are integrated throughout this book. To further strengthen students understanding of the growing diversity among today's families, the author included a series of boxes that focus on families from many cultures. "Choices"On the individual level, family members have many more choices today than ever before. People feel freer to postpone marriage, to cohabit, or to raise children as single parents. As a result, household forms vary greatly, ranging from commuter marriages to those in which several generations live together under the same roof. "Constraints"Although family members choices are more varied today, we also face greater macro- level constraints. Our options are increasingly limited, for example, by government policies. Economic changes often shape family life and not vice versa. Political and legal institutions also have a major impact on most families in tax laws, welfare reform, and even in defining what a family is. Because laws, public policies, and religious groups affect our everyday lives, the author has framed many discussions of individual choices within the larger picture of the institutional constraints that limit our choices.To learn more about the new edition, click here to visit the showcase site.

    Each chapter focuses on one theory or group of theories, providing brief biographies that shed light on how the theories were formed.

    

    For his own reasons he still remains anonymous, the hypnotic self-help elite must be ruffled! They don’t want this stuff getting out! The Rogue Hypnotist is a top UK clinical hypnotherapist and Advanced NLP expert. He has a very good success rate indeed with his client’s and he wants to share the tricks that work with you! He helps his client’s in 1 session only at a very reasonable rate. They leave with a big smile on their faces. Police officers, multimillionaire’s even TV celebs have sought his help; now he wants to help YOU! The sequel to ‘How to hypnotise anyone,’ the number 1 best seller on hypnosis on Amazon.com and .co.uk is here! ‘Mastering hypnotic language,’ awaits you!!! You can now take your hypnotic mastery up to the next level! In book 1 you learnt how to hypnotise anyone using words alone. Now you will learn how to use words with such precision that your total hypnotic power is assured! The Rogue Hypnotist is giving away almost for free all the ‘language patterns’ that work as opposed to all the junk being sold out that that won’t do anything to anyone. Learning hypnosis should be easy and fun! The hypnosis bag of magic tricks that you can expect to effortlessly learn and put into practise are… 1. The specific language that will induce trance and hypnosis in anyone. 2. Why words beginning in RE are hypnotic! 3. Why you SHOULD use PMR (Progressive Muscle Relaxation) with a script showing just how to do so. 4. How to dissociate the conscious and unconscious minds. Script provided! 5. What ‘colour feelings’ are and how to use them in hypnosis. 6. The secrets of ‘hidden code’ hypnosis. 7. How to use ‘hypnotic negations’ properly and why they work. 8. The amazing expose of how the unconscious reveals the truth through ‘reverse speech.’ 9. A powerful and much more advanced ‘hypnotic mind model,’ that will give you far greater understanding of how the mind works than 99% of mental health care professionals, helping you hypnotise anyone with flair. 10. What the best ‘temporal and spatial’ language predicates to use in hypnosis are. 11. Exactly how to use language to dig out specifics, to find the missing pieces and stop yourself being influenced against your will. 12. How to use hypnotic assumptions and nominalisations and which ones work best. 13. How to specifically and expertly use artfully vague hypnotic language. 14. What hyperbolic words and hypnotic poetry is. 15. The specifics of ‘hypnotic languaging.’ 16. A knowledge of associational networks and artful ambiguity. 17. The 100% fail proof formula to create your own hypnotic deepeners! It’s easier than you think! And you get a free bonus – ‘The Silly Deepener!’ 18. An embedded commands induction PLUS the specific ‘embeds’ that induce trance in any conversation. You will learn TRUE conversational hypnosis that works including how to describe a state to elicit it! 19. A step by step description of the precise way to create a ‘symbolic deepener’ with full script provided. 20. Your special BONUS – ‘The Unicorn Deepener’ and much, much more! The Rogue Hypnotist is practically giving this away so that YOU will have by end of the book more hypnotic ability than 99% of so-called hypnotists out there! That’s my promise to you.

    Courses tailored to fit individual pupils. Textbooks that talk back. This is tomorrow’s education landscape, thanks to the power of big data. These advances go beyond the much-discussed rise of online courses. As the New York Times-bestselling authors of Big Data explain, the truly fascinating changes are actually occurring in how we measure students’ progress and how we can use that data to improve education for everyone, in real time, both on- and offline. Learning with Big Data offers an eye-opening, insight-packed tour through these new trends, for educators, administrators, and readers interested in the latest developments in business and technology.

    This book develops statistical thinking over rote drill and practice. The Nature of Statistics; Organizing Data; Descriptive Measures; Probability Concepts; Discrete Random Variables; The Normal Distribution; The Sampling Distribution of the Sample Menu; Confidence Intervals for One Population Mean; Hypothesis Tests for One Population Mean; Inferences for Two Population Means; Inferences for Population Standard Deviations; Inferences for Population Proportions; Chi-Square Procedures; Descriptive Methods in Regression and Correlation; Inferential Methods in Regression and Correlation; Analysis of Variance (ANOVA) For all readers interested in Introductory Statistics.

    Life feels more fun, free and fruitful when you learn to love the power of discipline.Read the book.Sign up for the FREE online coaching course.Join the accountability Facebook group for that extra injection of goal motivation and support. It might change your life!I was struggling being the woman I wanted to be. Health, finance, habits. I realized I lacked self-discipline and that was the cause of all the issues. I searched for a book on Self-Discipline, and found a gem in Gemma’s book. Since January I am down 19 pounds, killed $5500 in debt, and more organized than ever. I track my progress on my Facebook page and am inspiring so many friends, giving credit to Gemma and her easy to follow plan to get your act together. - ★★★★★Perfect book for someone who struggles with discipline and Organization like I did before reading this book, This was the 3rd self discipline book I’ve read and by far the best gemma has made the book as straight forwarded as possible and if you really give her practices a go it will change your life for the better. Enjoy:) - ★★★★★

    Acclaimed data scientist DJ Patil details a new approach to solving problems in Data Jujitsu.Learn how to use a problem's "weight" against itself to:Break down seemingly complex data problems into simplified partsUse alternative data analysis techniques to examine themUse human input, such as Mechanical Turk, and design tricks that enlist the help of your users to take short cuts around tough problemsLearn more about the problems before starting on the solutions—and use the findings to solve them, or determine whether the problems are worth solving at all.

    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.