Автор: Berman Rachel Название: Boosting Your Metabolism For Dummies ISBN: 1118491572 ISBN-13(EAN): 9781118491577 Издательство: Wiley Рейтинг: Цена: 2533.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The easy way to boost your metabolism and lose weight. for good! People often wonder why their dieting and exercise efforts seem to result in little or no weight loss. Some people may have to work hard to simply maintain their current weight. With such a dilemma, they may blame their woes on a "slow metabolism".
Автор: World Bank Название: Ending Poverty And Boosting Shared Prosperity ISBN: 1464803617 ISBN-13(EAN): 9781464803611 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 4712.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: "In 2013, the World Bank Group adopted two new goals to guide its work: ending extreme poverty and boosting shared prosperity. More specifically, the goals are to reduce extreme poverty in the world to less than 3 percent by 2030, and to foster income growth of the bottom 40 percent of the population in each country. While poverty reduction has been a mainstay of the World Bank's mission for decades, the Bank has now set a specific goal and timetable, and for the first time, the Bank has explicitly included a goal linked to ensuring that growth is shared by all. The discussion until now has centered primarily on articulating the new goals. This report, the latest in World Bank's Policy Research Report series, goes beyond that and lays out their conceptual underpinnings, discusses their relative strengths and weaknesses by contrasting them with alternative indicators, and proposes empirical approaches and requirements to track progress towards the goals. The report makes clear that the challenges posed by the World Bank Group's new stance extend not just to the pursuit of these goals but, indeed, to their very definition and empirical content. The report also argues that an improved data infrastructure, consisting of many elements including the collection of more and better survey data, is critical to ensure that progress towards these goals can be measured, and policies to help achieve them can be identified and prioritized."
Автор: Beaudoin Marie Nathalie Название: Boosting All Children`s Social and Emotional Brain Power ISBN: 1452258368 ISBN-13(EAN): 9781452258362 Издательство: Sage Publications Рейтинг: Цена: 4909.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Thoroughly examining children`s social and problem-solving skills in a unique way, this book builds on students` own problem-solving successes. Dwelling on the child`s unique life experience and what has worked successfully thus far, this provides a reinvigorating and enriching of existing neural connections.
Описание: Developed in cooperation with the Center for Social Action, UK, this book offers teachers an instructional model for generating real-world problem solving and writing practice. The book features stories by teachers who have successfully used these strategies and includes various ways of using the model across grade levels and content areas.
Автор: Schapire Robert E., Freund Yoav Название: Boosting: Foundations and Algorithms ISBN: 0262526034 ISBN-13(EAN): 9780262526036 Издательство: MIT Press Рейтинг: Цена: 6772.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
An accessible introduction and essential reference for an approach to machine learning that creates highly accurate prediction rules by combining many weak and inaccurate ones.
Boosting is an approach to machine learning based on the idea of creating a highly accurate predictor by combining many weak and inaccurate "rules of thumb." A remarkably rich theory has evolved around boosting, with connections to a range of topics, including statistics, game theory, convex optimization, and information geometry. Boosting algorithms have also enjoyed practical success in such fields as biology, vision, and speech processing. At various times in its history, boosting has been perceived as mysterious, controversial, even paradoxical.
This book, written by the inventors of the method, brings together, organizes, simplifies, and substantially extends two decades of research on boosting, presenting both theory and applications in a way that is accessible to readers from diverse backgrounds while also providing an authoritative reference for advanced researchers. With its introductory treatment of all material and its inclusion of exercises in every chapter, the book is appropriate for course use as well.
The book begins with a general introduction to machine learning algorithms and their analysis; then explores the core theory of boosting, especially its ability to generalize; examines some of the myriad other theoretical viewpoints that help to explain and understand boosting; provides practical extensions of boosting for more complex learning problems; and finally presents a number of advanced theoretical topics. Numerous applications and practical illustrations are offered throughout.
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