Lingua: Inglese
Editore: The Feminist Press at the City University of New York, New York, New York, U.S.A., 1991
ISBN 10: 1558610189 ISBN 13: 9781558610187
Da: The Shop Around The Corner, Elgin, IL, U.S.A.
Soft cover. Condizione: Very Good. No Jacket. s4 6"x9"; 232 pages; The binding and pages are clean, tight and square. There is no underlining, highlighting or margin notes. A used copy with normal reading wear. If you order multiple titles, I will combine them in order to reduce postage costs. If you have any questions, contact me before ordering for details. Contains the following: "Preface" by Anne C. Carver; "Three Generations of Taiwan's Contemporary Writers: A Critical Introduction" by Sung-sheng Yvonne Chang; "Shame, Amah!" by Eileen Chang; "Candle" by Lin Hai-yin; "The Chignon" by Ch'i Chun; "A Pair of Socks with Love" by P'an Jen-mu; "In Liu Village" by Yu Li-hua; "Chairman Mao Is a Rotten Egg" by Ch'en Jo-hsi; "Vase" by Ou-yang Tzu; "The Ritual of the Clay Idol" by Shih Shu-ch'ing; "Flower Season" by Li Ang; "A Woman Like Me" by Hsi Hsi; "The Mulberry Sea" by Yuan Ch'iung'-ch'iung; "Two Very Short Stories by Ai Ya; "The Aftermath of the Death of a Junior High Coed" by Hsiano Sa; "Journey to Mount Bliss" by Chiang Hsiao-yun; "Can One Read Cross-culturally?" by Ann C. Carver.
Lingua: Inglese
Editore: Foreign Language Press, Peking, 1959
Da: Black Butte Books, Sisters, OR, U.S.A.
Prima edizione
Soft cover. Condizione: Very Good. Yang Yung-Ching (illustratore). First Edition. very good in lightly soiled and creaded wraps with color illustration. Many B/W illusatrations. Interesting view of Tibet from the Chinese perspective.
Editore: The Society, Taipei, 1967
Da: Katsumi-san Co., Cambridge, MA, U.S.A.
Prima edizione
White Printed Wrappers. Condizione: Fair+. First Edition. Text is in Chinese. Volume has wear and age browning; cover has small bit of soil; text clean. [222] p., illustrated [otob: 28] Size: Oversize.
Condizione: New.
Da: Majestic Books, Hounslow, Regno Unito
EUR 44,03
Quantità: 1 disponibili
Aggiungi al carrelloCondizione: New.
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 43,11
Quantità: 1 disponibili
Aggiungi al carrelloCondizione: New.
Da: California Books, Miami, FL, U.S.A.
EUR 55,01
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
Lingua: Inglese
Editore: Springer International Publishing AG, Cham, 2022
ISBN 10: 3031053702 ISBN 13: 9783031053702
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
Hardcover. Condizione: new. Hardcover. This book provides a practical and fairly comprehensive review of Data Science through the lens of dimensionality reduction, as well as hands-on techniques to tackle problems with data collected in the real world. State-of-the-art results and solutions from statistics, computer science and mathematics are explained from the point of view of a practitioner in any domain science, such as biology, cyber security, chemistry, sports science and many others. Quantitative and qualitative assessment methods are described to implement and validate the solutions back in the real world where the problems originated.The ability to generate, gather and store volumes of data in the order of tera- and exo bytes daily has far outpaced our ability to derive useful information with available computational resources for many domains.This book focuses on data science and problem definition, data cleansing, feature selection and extraction,statistical, geometric, information-theoretic, biomolecular and machine learning methods for dimensionality reduction of big datasets and problem solving, as well as a comparative assessment of solutions in a real-world setting.This book targets professionals working within related fields with an undergraduate degree in any science area, particularly quantitative. Readers should be able to follow examples in this book that introduce each method or technique. These motivating examples are followed by precise definitions of the technical concepts required and presentation of the results in general situations. These concepts require a degree of abstraction that can be followed by re-interpreting concepts like in the original example(s). Finally, each section closes with solutions to the original problem(s) afforded by these techniques, perhaps in various ways to compare and contrast dis/advantages to other solutions. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
EUR 60,40
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
HRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
Lingua: Inglese
Editore: Springer International Publishing AG, 2022
ISBN 10: 3031053702 ISBN 13: 9783031053702
Da: PBShop.store UK, Fairford, GLOS, Regno Unito
EUR 58,12
Quantità: 1 disponibili
Aggiungi al carrelloHRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 48,02
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. In.
EUR 63,94
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Condizione: NEW.
Editore: The Hoover Institution on War, Revolution, and Peace, Stanford, CA, 1966
Da: Shoemaker Booksellers, Gettysburg, PA, U.S.A.
Hardcover. Condizione: Very Good. Condizione sovraccoperta: Very Good-. 776 pp. Original brown cloth covers. Light foxing to edges of text block and endpapers. DJ moderately soiled w/ wear to edges. Approx. 1" closed tear from top edge of rear panel. Contents nice.
Lingua: Inglese
Editore: Springer International Publishing AG, CH, 2022
ISBN 10: 3031053702 ISBN 13: 9783031053702
Da: Rarewaves.com USA, London, LONDO, Regno Unito
EUR 71,74
Quantità: 1 disponibili
Aggiungi al carrelloHardback. Condizione: New. 2022 ed. This book provides a practical and fairly comprehensive review of Data Science through the lens of dimensionality reduction, as well as hands-on techniques to tackle problems with data collected in the real world. State-of-the-art results and solutions from statistics, computer science and mathematics are explained from the point of view of a practitioner in any domain science, such as biology, cyber security, chemistry, sports science and many others. Quantitative and qualitative assessment methods are described to implement and validate the solutions back in the real world where the problems originated.The ability to generate, gather and store volumes of data in the order of tera- and exo bytes daily has far outpaced our ability to derive useful information with available computational resources for many domains.This book focuses on data science and problem definition, data cleansing, feature selection and extraction,statistical, geometric, information-theoretic, biomolecular and machine learning methods for dimensionality reduction of big datasets and problem solving, as well as a comparative assessment of solutions in a real-world setting.This book targets professionals working within related fields with an undergraduate degree in any science area, particularly quantitative. Readers should be able to follow examples in this book that introduce each method or technique. These motivating examples are followed by precise definitions of the technical concepts required and presentation of the results in general situations. These concepts require a degree of abstraction that can be followed by re-interpreting concepts like in the original example(s). Finally, each section closes with solutions to the original problem(s) afforded by these techniques, perhaps in various ways to compare and contrast dis/advantages to other solutions.
EUR 58,11
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
EUR 58,75
Quantità: 1 disponibili
Aggiungi al carrelloHardcover. Condizione: New.
EUR 63,93
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. In.
Editore: Foreign Languages Press, 1972
Da: Braintree Book Rack, Cohasset, MA, U.S.A.
Paperback. Condizione: Very Good. A bright, clean copy with some rubbing on the cover.
EUR 66,27
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
EUR 72,25
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. In.
Condizione: New. pp. 280.
Da: Revaluation Books, Exeter, Regno Unito
EUR 74,62
Quantità: 2 disponibili
Aggiungi al carrelloHardcover. Condizione: Brand New. 250 pages. 9.45x6.62x9.61 inches. In Stock.
EUR 53,42
Quantità: 1 disponibili
Aggiungi al carrelloCondizione: NEW.
EUR 91,95
Quantità: 2 disponibili
Aggiungi al carrelloPaperback. Condizione: Brand New. 276 pages. 9.25x6.10x0.67 inches. In Stock.
Condizione: New.
Lingua: Inglese
Editore: Springer, Berlin|Springer International Publishing|Springer, 2023
ISBN 10: 3031053737 ISBN 13: 9783031053733
Da: moluna, Greven, Germania
EUR 55,78
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
EUR 100,66
Quantità: 2 disponibili
Aggiungi al carrelloHardcover. Condizione: Brand New. 276 pages. 9.25x6.10x0.69 inches. In Stock.
Lingua: Inglese
Editore: Springer International Publishing, 2023
ISBN 10: 3031053737 ISBN 13: 9783031053733
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 50,28
Quantità: 1 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book provides a practical and fairly comprehensive review of Data Science through the lensof dimensionality reduction, as well as hands-on techniques to tackle problems with data collected in the real world. State-of-the-art results and solutions from statistics, computer science and mathematics are explained from the point of view of a practitioner in any domain science, such as biology, cyber security, chemistry, sports science and many others. Quantitative and qualitative assessment methods are described to implement and validate the solutions back in the real world where the problems originated.The ability to generate, gather and store volumes of data in the order of tera- and exo bytes daily has far outpaced our ability to derive useful information with available computational resources for many domains.This book focuses on data science and problem definition, data cleansing, feature selection and extraction,statistical, geometric, information-theoretic, biomolecular and machine learning methods for dimensionality reduction of big datasets and problem solving, as well as a comparative assessment of solutions in a real-world setting.This book targets professionals working within related fields with an undergraduate degree in any science area, particularly quantitative. Readers should be able to follow examples in this book that introduce each method or technique. These motivating examples are followed by precise definitions of the technical concepts required and presentation of the results in general situations. These concepts require a degree of abstraction that can be followed by re-interpreting concepts like in the original example(s). Finally, each section closes with solutions to the original problem(s) afforded by these techniques, perhaps in various ways to compare and contrast dis/advantages toother solutions.