At 15 she tried in vain to escape by marrying a white man, only to find herself trapped in the slums of Vancouver—addicted to drugs, tempted by suicide, close to death. But the inspiration of her Cree great-grandmother, Cheechum, gives her confidence in herself and in her people, confidence she needs to survive and to thrive.Half-Breed offers an unparalleled understanding of the Métis people and of the racism and hatred they face. Maria Campbell's story cannot be denied and it cannot be forgotten: it stands as a challenge to all Canadians who believe in human rights and human dignity.

    This book is focused on the details of data analysis that sometimes fall through the cracks in traditional statistics classes and textbooks. It is based in part on the authors blog posts, lecture materials, and tutorials. The author is one of the co-developers of the Johns Hopkins Specialization in Data Science the largest data science program in the world that has enrolled more than 1.76 million people. The book is useful as a companion to introductory courses in data science or data analysis. It is also a useful reference tool for people tasked with reading and critiquing data analyses. It is based on the authors popular open-source guides available through his Github account (https://github.com/jtleek). The paper is also available through Leanpub (https://leanpub.com/datastyle), if the book is purchased on that platform you are entitled to lifetime free updates.

    Criminological Theory: Context and Consequences, Fourth Edition shows the real-world relevance of theory by illuminating how ideas about crime play a prominent role in shaping crime-control policies and compelling students to apply theories to the contemporary milieu.

    Drawing on in-depth observations of black and white middle-class, working-class, and poor families, Unequal Childhoods explores this fact, offering a picture of childhood today. Here are the frenetic families managing their children's hectic schedules of "leisure" activities; and here are families with plenty of time but little economic security. Lareau shows how middle-class parents, whether black or white, engage in a process of "concerted cultivation" designed to draw out children's talents and skills, while working-class and poor families rely on "the accomplishment of natural growth," in which a child's development unfolds spontaneously—as long as basic comfort, food, and shelter are provided. Each of these approaches to childrearing brings its own benefits and its own drawbacks. In identifying and analyzing differences between the two, Lareau demonstrates the power, and limits, of social class in shaping the lives of America's children.The first edition of Unequal Childhoods was an instant classic, portraying in riveting detail the unexpected ways in which social class influences parenting in white and African-American families. A decade later, Annette Lareau has revisited the same families and interviewed the original subjects to examine the impact of social class in the transition to adulthood.

    Underlying this trend is a single idea: the belief that our existence is understandable through computation, and more data is enough to help us build a better world.   In actual fact, we are lost in a sea of information, increasingly divided by fundamentalism, simplistic narratives, conspiracy theories, and post-factual politics. Meanwhile, those in power use our lack of understanding to further their own interests. Despite the accessibility of information, we’re living in a new Dark Age.   From rogue financial systems to shopping algorithms, from artificial intelligence to state secrecy, we no longer understand how our world is governed or presented to us. The media is filled with unverifiable speculation, much of it generated by anonymous software, while companies dominate their employees through surveillance and the threat of automation.   In his brilliant new work, leading artist and writer James Bridle excavates the limits of technology and how it aids our understanding of the world. Surveying the history of art, technology, and information systems, he explores the dark clouds that gather over our dreams of the digital sublime.

    Predictive Analytics For Dummies explores the power of predictive analytics and how you can use it to make valuable predictions for your business, or in fields such as advertising, fraud detection, politics, and others. This practical book does not bog you down with loads of mathematical or scientific theory, but instead helps you quickly see how to use the right algorithms and tools to collect and analyze data and apply it to make predictions.Topics include using structured and unstructured data, building models, creating a predictive analysis roadmap, setting realistic goals, budgeting, and much more.Shows readers how to use Big Data and data mining to discover patterns and make predictions for tech-savvy businesses Helps readers see how to shepherd predictive analytics projects through their companies Explains just enough of the science and math, but also focuses on practical issues such as protecting project budgets, making good presentations, and more Covers nuts-and-bolts topics including predictive analytics basics, using structured and unstructured data, data mining, and algorithms and techniques for analyzing data Also covers clustering, association, and statistical models; creating a predictive analytics roadmap; and applying predictions to the web, marketing, finance, health care, and elsewhere Propose, produce, and protect predictive analytics projects through your company with Predictive Analytics For Dummies.

    This book is not a revision of the previous People's Almanac but a brand new book containing over one million new words. Its contents equal ten-normal sized books. It searches behind the facts to offer inside information as well as constant entertainment.

    Virtually every choice we make hinges on how someone generates data . . . and how someone else interprets it--whether we realize it or not.Where do you send your child for the best education? Big Data. Which airline should you choose to ensure a timely arrival? Big Data. Who will you vote for in the next election? Big Data.The problem is, the more data we have, the more difficult it is to interpret it. From world leaders to average citizens, everyone is prone to making critical decisions based on poor data interpretations.In Numbersense, expert statistician Kaiser Fung explains when you should accept the conclusions of the Big Data experts--and when you should say, Wait . . . what? He delves deeply into a wide range of topics, offering the answers to important questions, such as:How does the college ranking system really work?Can an obesity measure solve America's biggest healthcare crisis?Should you trust current unemployment data issued by the government?How do you improve your fantasy sports team?Should you worry about businesses that track your data?Don't take for granted statements made in the media, by our leaders, or even by your best friend. We're on information overload today, and there's a lot of bad information out there.Numbersense gives you the insight into how Big Data interpretation works--and how it too often doesn't work. You won't come away with the skills of a professional statistician. But you will have a keen understanding of the data traps even the best statisticians can fall into, and you'll trust the mental alarm that goes off in your head when something just doesn't seem to add up.Praise for NumbersenseNumbersense correctly puts the emphasis not on the size of big data, but on the analysis of it. Lots of fun stories, plenty of lessons learned--in short, a great way to acquire your own sense of numbers!Thomas H. Davenport, coauthor of Competing on Analytics and President's Distinguished Professor of IT and Management, Babson CollegeKaiser's accessible business book will blow your mind like no other. You'll be smarter, and you won't even realize it. Buy. It. Now.Avinash Kaushik, Digital Marketing Evangelist, Google, and author, Web Analytics 2.0Each story in Numbersense goes deep into what you have to think about before you trust the numbers. Kaiser Fung ably demonstrates that it takes skill and resourcefulness to make the numbers confess their meaning.John Sall, Executive Vice President, SAS InstituteKaiser Fung breaks the bad news--a ton more data is no panacea--but then has got your back, revealing the pitfalls of analysis with stimulating stories from the front lines of business, politics, health care, government, and education. The remedy isn't an advanced degree, nor is it common sense. You need Numbersense.Eric Siegel, founder, Predictive Analytics World, and author, Predictive AnalyticsI laughed my way through this superb-useful-fun book and learned and relearned a lot. Highly recommended! Tom Peters, author of In Search of Excellence

    In this in-depth report, data scientist DJ Patil explains the skills, perspectives, tools and processes that position data science teams for success.Topics include: What it means to be "data driven." The unique roles of data scientists. The four essential qualities of data scientists. Patil's first-hand experience building the LinkedIn data science team.

    Now in it's tenth edition, this text makes chemistry exciting to students by showing them why important concepts are relevant to their lives and future careers.

    In Words and Rules, Steven Pinker explains the mysteries of language by examining a single construction from a dozen viewpoints, proposing that the essence of language is a mental dictionary of memorized words, and a mental grammar of creative rules.

    Everyone working in words or other media needs to read this important new reference, and to keep it nearby while they're working.This guide features:Twenty-two succinct style principles. Advice on culturally appropriate publishing practices, including how to collaborate with Indigenous Peoples, when and how to seek the advice of Elders, and how to respect Indigenous Oral Traditions and Traditional Knowledge. Terminology to use and to avoid. Advice on specific editing issues, such as biased language, capitalization, and quoting from historical sources and archives. Case studies of projects that illustrate best practices.

    Throughout their highly personal conversations recorded here, Horton and Freire discuss the nature of social change and empowerment and their individual literacy campaigns. The ideas of these men developed through two very different channels: Horton's, from the Highlander Center, a small, independent residential education center situated outside the formal schooling system and the state; Freire's, from within university and state-sponsored programs. Myles Horton, who died in January 1990, was a major figure in the civil rights movement and founder of the Highlander Folk School, later the highlander Research and Education Center. Paulo Freire, author of Pedagogy of the Oppressed, established the Popular Culture Movement in Recife, Brazil's poorest region, and later was named head of the New National Literacy Campaign until a military coup forced his exile from Brazil. He has been active in educational development programs worldwide. For both men, real liberation is achieved through popular participation. The themes they discuss illuminate problems faced by educators and activists around the world who are concerned with linking participatory education to the practice of liberation and social change. How could two men, working in such different social spaces and times, arrive at similar ideas and methods? These conversations answer that question in rich detail and engaging anecdotes, and show that, underlying the philosophy of both, is the idea that theory emanates from practice and that knowledge grows from and is a reflection of social experience.

    R is one of the most powerful and flexible statistical software packages available, and enables the user to apply a wide variety of statistical methods ranging from simple regression to generalized linear modelling. Statistics: An Introduction using R is a clear and concise introductory textbook to statistical analysis using this powerful and free software, and follows on from the success of the author's previous best-selling title Statistical Computing. * Features step-by-step instructions that assume no mathematics, statistics or programming background, helping the non-statistician to fully understand the methodology. * Uses a series of realistic examples, developing step-wise from the simplest cases, with the emphasis on checking the assumptions (e.g. constancy of variance and normality of errors) and the adequacy of the model chosen to fit the data. * The emphasis throughout is on estimation of effect sizes and confidence intervals, rather than on hypothesis testing. * Covers the full range of statistical techniques likely to be need to analyse the data from research projects, including elementary material like t-tests and chi-squared tests, intermediate methods like regression and analysis of variance, and more advanced techniques like generalized linear modelling. * Includes numerous worked examples and exercises within each chapter. * Accompanied by a website featuring worked examples, data sets, exercises and solutions: http: //www.imperial.ac.uk/bio/research/crawl... Statistics: An Introduction using R is the first text to offer such a concise introduction to a broad array of statistical methods, at a level that is elementary enough to appeal to a broad range of disciplines. It is primarily aimed at undergraduate students in medicine, engineering, economics and biology - but will also appeal to postgraduates who have not previously covered this area, or wish to switch to using R.

    In the same style as the best-selling Dreaming in Indian, #NotYourPrincess presents an eclectic collection of poems, essays, interviews, and art that combine to express the experience of being a Native woman. Stories of abuse, humiliation, and stereotyping are countered by the voices of passionate women making themselves heard and demanding change. Sometimes angry, often reflective, but always strong, the women in this book will give teen readers insight into the lives of women who, for so long, have been virtually invisible.