horizons
Measuring the Universe: Our Historic Quest to Chart the
ISBN: , SKU: , AUTHOR: Ferguson, Kitty, PUBLISHER: Walker & Company, More than years ago, Eratosthenes, in Alexandria, used a stick, a hole in the ground, sunllght at summer solstice, and elementary geometry to measure the circumference of the Earth with surprising accuracy, long before anyone was able to circumnavigate it. Today, scientists are attempting to measure the entire universe and to determine its origin. Although the methods have changed, the quest to chart the horizons of space and time continues to be one of the great adventures of science. "Measuring the Universe" is an eloquent chronicle of the men and women- from Aristarchus to Cassini, Sir Isaac Newton to Henrietta Leavitt and Stephen Hawking-who have gradually unlocked the mysteries of "how far" and in so doing have changed our ideas about the size and nature of the universe and our place in it. Kitty Ferguson reveals their methods to have been as inventive as their results were-and are-eye-opening. Advances such as Copernicus's revolutionary insights about the arrangement of the solar system, William Herschel's meticulous creation of the first three-dimensional map of the universe, and Edwin Hubble's astonishing discovery that the universe is expanding have by turns revolutionized our concept of the universe. Connecting centuries of breakthroughs with the political and cultural events surrounding them, Ferguson makes astronomy part of the sweep of history. To measure the seemingly immeasurable, scientists have always pushed the boundaries of the imagination-today, for example, facing the paradox of an ever-expanding universe that doesn't appear to expand "into" anything. In Kitty Fergeson's skillfill hands, the unimaginable becomes accessible and the splendid quest something we all can share.
Libri di suola superiore
Vendo i seguenti libri: l' arte correnti,artisti,società 3A (il settecento e l' ottocento) + 3B (il novecento) ed. D' Anna ? 15 cittadino europeo 1 ed.Tramontana ? 5 cittadino europeo 2 ed. Tramontana ? 5 lineamenti di algebra 1 ed. atlas ? 7 lineamenti di algebra 2 ed. atlas ?6 lineamenti di geometria ed. atlas ? 5 dal piano di marketing alla campagna pubblicitaria ed. clitt ? 12 la storia dell' arte 1 (dall' arte preistorica al gotico) ed, Archimede+ allegato grammatica dell' arte €13 la storia dell arte 3 (dal neoclassicismo all' arte contemporanea) ed. Archimede ? 10 testi e contesti (moduli di letteratura e cultura) 2 il novecento ed. B. Mondadori ? 12 il lettore nella rete B (la narrazione realistica e psicologica) ed. Loescher ?5 interrogare il passato 2 (il novecento) ed. B. Mondadori ?9 l' arte della pubblicità (nuovo) ed. Silvana Editore ? 16 servizi analisi ed. atlas ? 6 Tecnologia (Gianni Arduino) ed. Lattes -volume A:disegno+volume B:settori produttivi+volume C: tecnologia+tavole per il disegno €11 -volume D:energia +tavole per disegno e costruzione di solidi €3 -informatica €6 Gli spazi dell' uomo (Adalberto Vallega) ed.Le Monnier -1 Europa paesaggi,popoli e risorse+2 Gli stati d' Europa e l' Unione europea € 14 -3 Mondo paesaggi,popoli e risorse.Stati. € 11 -I segreti delle scienze. ed. Cedam I viventi e l' ambiente+la materia+l' uomo+la terra € 16 -L' uomo e la storia Ed. Bulgarini dalla preistoria all' età moderna+laboratorio €8 -Options Horizons Ed. Oxford Elementary+companion book+portfolio €8 -Scienze della natura. Ed. Atlas metodo e conoscenze di base + scienze della terra €8 -biologia €7 -Laboratorio di disegno e comunicazione visiva. ed Atlas €4
Restoring Fiscal Sanity: How to Balance the Budget
ISBN: , SKU: , AUTHOR: Rivlin, Alice M. / Sawhill, Isabel, PUBLISHER: Brookings Institution Press, The United States is standing at a critical juncture in its fiscal outlook. After experiencing a brief period of budget surpluses at the turn of the century, the federal government will run deficits that add about $4 trillion to the national debt over the next decade. Substantial deficits will likely continue long into the future because the looming retirement of the baby boom generation will raise spending in Social Security, Medicare, and Medicaid. At the same time, the federal government appears to be neglecting spending in key areas of social and economic policy. The nation thus faces a vital choice: continue down a path toward future fiscal crisis while under investing in critical areas, or increase resources in high-priority areas while also reducing the overall budget deficit. This choice will materially affect Americans economic status and security in the immediate future as well as over long horizons. In "Restoring Fiscal Sanity," a group of Brookings scholars with high-level government experience provide an overview of the countrys likely medium- and long-term spending needs and the resources available to pay for them. They propose three alternative fiscal paths that are more responsible than the current path. One plan emphasizes spending cuts, the second emphasizes revenue increases, and a third is a balanced mix between the two. The contributors address the policy choices in such areas as defense, homeland security, international assistance, and programs targeted to the less advantaged, the elderly, and other domestic priorities. In the process, they provide an understanding of the short- and long-run trade offs and illustrate how the budget can be reshaped to achieve highpriority objectives in a fiscally responsible way.
Collezione CD Musicali anni
Vendo cd musicali anni in buone condizioni. A seguire la lista parziale dei titoli in mio possesso, rigorosamente originali. Prezzo: 2 euro per cd. Unlimited Ambient - New Age George Micheal - Live in USA '92 Secrets - New Age Moon - World Music Soundscapes - New Age Rebirth - New Age Celtic Roots - Traditional Celtic Music Mystic Man - New Age Etnica - World Music Musiche dal mondo - Alpi Next Age - Olis Music Sulle ali dell'infinito - New Age Ancient Tales - New Age Dreaming - Nouvel Age Le voci del cielo - Irlanda Simply surprising Sting - Ten Summoner's tale Giancarlo Bonfà - Sinergie Clannad Macalla - New Age Liberty - New Age Vangelis Direct - New Age Sand - World Music Youssou n'dour - The guide (wommat) Antica - Musica delle crociate Carole King - Tapestry Bob Dylan - Highway 61 Revisited Horizons - World Music Elements - New Age & China Lily On The Beach - New Age Myth - Nouvel Age Mariah Carey - No.1's Noa - Blue touches blue Eclectica - Olis Music Materiali Sonori - Olis Music Black Hits - Black & Soul Red Ronnie - Quei romantici scatenati anni 50 Modern Talking - Fruit on the beach - Shadowdance - New Age Macarena Party - The Caribbeans Stand By Me - 4 the cause No Doubt - Don't Speak Pepe Cabana's Beachband - Fiesta Brasiliana Dance Collection - Hits '80 Top of the spring selection - Mark Van Dale with Enrico - Water Verve rythm blues - il grande rock summer party - Vangelis Portraits - so long ago, so clear natalie imbruglia - torn studio 99 perform the music of santana film 90's anima sampler - new age tributo a giorgia - le canzoni più belle rooney franklin - diamond inside of you emozioni in musica - fa che sia amore hit parade framon hotel group - the spirit of italy Jermaine - stewart tubular bells - mike oldfield hot+cold - peugeot bailando - loona Continua...
Machine Learning and Statistics: The Interface
ISBN: , SKU: , AUTHOR: Nakhaeizadeh, Gholamreza / Taylor, C. C. / Nakhaeizadeh, G., PUBLISHER: Wiley-Interscience, The interface between statistics and machine learning (ML) is an increasingly popular research subject, as scientists and statisticians discover useful areas where these disciplines overlap. ML deals primarily with learning rules or structure, and while some books on the subject exist, this volume is the only one to integrate ML with statistics. It explores new areas where theory and methods can be shared and demonstrates the benefits to those working in either discipline. Written by leading experts in both fields, Machine Learning and Statistics is a result of the authors' participation in the European Conference in Machine Learning. This important collection of contributions was adapted from conference workshop material and reworked to address readers of diverse backgrounds and skills. For newcomers to the field, a thorough introduction surveys the various topics and supplies numerous references for further reading. The book's main focus is on classification, the most common area of intersection. The classification process uses information about a new example to assign the example to one of a known number of classes. Such methods typically involve a rule learned from an initial set of data, which is where ML comes into play. Other topics covered include prediction, control, and an introduction to methods of knowledge discovery in databases--a skill that has become especially relevant with the explosion in large-scale databases. Timely, practical, and innovative, this book offers a number of new algorithms and draws on real-world examples including financial and medical applications. It also includes two chapters on loans/credit applications that help identify bad risks and good customers--useful for those working with credit scoring and bad debt analysis. Machine Learning and Statistics is an invaluable resource for researchers involved with artificial intelligence and ML in academia, government, or industry, as well as those working with pattern recognition in statistical departments; for students at the graduate level who seek to expand their horizons; and for anyone who would like to learn more about these cutting-edge methodologies. The first book to explore the theory, methods, and applications of the relationship between machine learning and statistics. Here is the first book to address the growing demand for applications that integrate machine learning and statistics. The only text to focus on the interface between the two disciplines, this volume explores a mutually beneficial relationship that is fast becoming recognized by scientists, engineers, and researchers in data analysis and intelligent systems worldwide. The book shows that machine learning shares several areas of common research with statistics, most notably classification, prediction, and control. It demonstrates that statistical and probability methodologies can be applied in developing different machine learning algorithms and that these algorithms can