Yang Ching Chi (50 results)
Bamboo Shoots After the Rain: Contemporary Stories by Women Writers of Taiwan
Ann C. Carver; Sung-sheng Yvonne Chang (Editors); Eileen Chang; Lin Hai-yin; Ch'i Chun; P'an Jen-mu; Yu Li-hua; Ch'en Jo-hsi; Ou-yang Tzu; Shih Shu-ch'ing; Li Ang; Hsi Hsi; Yuan Ch'iung'-ch'iung; Ai Ya; Hsiano Sa; Chiang Hsiao-yun
Language: English
Published by The Feminist Press at the City University of New York, New York, New York, U.S.A., 1991
- Softcover
Seller: The Shop Around The Corner, Elgin, IL, U.S.A.The Shop Around The Corner
Contact seller5-star sellerCondition: Used - Very good
US$ 4.50
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Soft cover. Condition: 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 m…e 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.
Language: English
Published by Foreign Language Press, Peking, 1959
- Softcover
- First Edition
Seller: Black Butte Books, Sisters, OR, U.S.A.Black Butte Books
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US$ 35.00
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Soft cover. Condition: Very Good. 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. Yang Yung-Ching (illustrator).
Random Number Generators for Computer Simulation and Cyber Security: Design, Search, Theory, and Application (Synthesis Lectures on Mathematics & Statistics)
Deng, Lih-Yuan; Kumar, Nirman; Lu, Henry Horng-Shing; Yang, Ching-Chi
- Hardcover
Seller: California Books, Miami, FL, U.S.A.California Books
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Random Number Generators for Computer Simulation and Cyber Security: Design, Search, Theory, and Application (Synthesis Lectures on Mathematics & Statistics)
Deng, Lih-Yuan; Kumar, Nirman; Lu, Henry Horng-Shing; Yang, Ching-Chi
- Hardcover
Seller: Ria Christie Collections, Uxbridge, United KingdomRia Christie Collections
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Condition: New. In.
Dimensionality Reduction in Data Science
Garzon, Max (EDT); Yang, Ching-chi (EDT); Venugopal, Deepak (EDT); Kumar, Nirman (EDT); Jana, Kalidas (EDT)
- Hardcover
Seller: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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- Hardcover
Seller: PBShop.store US, Wood Dale, IL, U.S.A.PBShop.store US
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HRD. Condition: New. New Book. Shipped from UK. Established seller since 2000.
- Hardcover
Seller: PBShop.store UK, Fairford, GLOS, United KingdomPBShop.store UK
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HRD. Condition: New. New Book. Shipped from UK. Established seller since 2000.
Dimensionality Reduction in Data Science
Garzon, Max (EDT); Yang, Ching-chi (EDT); Venugopal, Deepak (EDT); Kumar, Nirman (EDT); Jana, Kalidas (EDT)
- Hardcover
Seller: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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Condition: As New. Unread book in perfect condition.
Language: English
Published by Springer International Publishing AG, Cham, 2022
- Hardcover
Seller: Grand Eagle Retail, Bensenville, IL, U.S.A.Grand Eagle Retail
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Hardcover. Condition: 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 m…athematics 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.
POLITICS OF THE CHINESE RED ARMY: A Translation of the Bulletin of Activities of the People's Liberation Army
Cheng, J. Chester (Editor)/With the Collaboration of Han, Ch'ing-lien; Hsiao, Gene; Hsiung, Yin-tso; Soo-hoo, Nettie; Swen, Chi-sheo; Yang, Timothy S.
Published by The Hoover Institution on War, Revolution, and Peace, Stanford, CA, 1966
- Hardcover
Seller: Shoemaker Booksellers, Gettysburg, PA, U.S.A.Shoemaker Booksellers
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US$ 44.00
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Hardcover. Condition: Very Good. Dust Jacket Condition: 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.
More imagesDimensionality Reduction in Data Science
Deepak Venugopal, Nirman Kumar, Ching-chi Yang, Max Garzon, Kalidas Jana
Language: English
Published by Springer International Publishing AG, CH, 2022
- Hardcover
Seller: Rarewaves.com USA, London, LONDO, United KingdomRarewaves.com USA
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US$ 80.90
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Hardback. Condition: 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 math…ematics 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.
Dimensionality Reduction in Data Science
Garzon, Max (EDT); Yang, Ching-chi (EDT); Venugopal, Deepak (EDT); Kumar, Nirman (EDT); Jana, Kalidas (EDT)
- Hardcover
Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK
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US$ 67.76
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Condition: New.
Dimensionality Reduction in Data Science
Max Garzon, Ching-Chi Yang, Deepak Venugopal, Nirman Kumar, Kalidas Jana, Lih-Yuan Deng
- Hardcover
Seller: Chiron Media, Wallingford, United KingdomChiron Media
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US$ 67.77
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Hardcover. Condition: New.
Random Number Generators for Computer Simulation and Cyber Security: Design, Search, Theory, and Application (Synthesis Lectures on Mathematics & Statistics)
Deng, Lih-Yuan; Kumar, Nirman; Lu, Henry Horng-Shing; Yang, Ching-Chi
- Hardcover
Seller: Books Puddle, New York, NY, U.S.A.Books Puddle
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US$ 82.56
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Condition: New.
- Hardcover
Seller: Ria Christie Collections, Uxbridge, United KingdomRia Christie Collections
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US$ 74.28
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Condition: New. In.
Published by Foreign Languages Press, 1972
- Softcover
Seller: Braintree Book Rack, Cohasset, MA, U.S.A.Braintree Book Rack
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US$ 49.99
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Paperback. Condition: Very Good. A bright, clean copy with some rubbing on the cover.
Dimensionality Reduction in Data Science
Garzon, Max (EDT); Yang, Ching-chi (EDT); Venugopal, Deepak (EDT); Kumar, Nirman (EDT); Jana, Kalidas (EDT)
- Hardcover
Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK
Contact seller5-star sellerCondition: Used - As new
US$ 76.49
US$ 20.03 shippingShips from United Kingdom to U.S.A.Quantity: Over 20 available
Condition: As New. Unread book in perfect condition.
- Softcover
Seller: Ria Christie Collections, Uxbridge, United KingdomRia Christie Collections
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US$ 83.96
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Condition: New. In.
Random Number Generators for Computer Simulation and Cyber Security: Design, Search, Theory, and Application
Deng, Lih-yuan/ Kumar, Nirman/ Lu, Henry Horng-Shing/ Yang, Ching-chi
- Hardcover
Seller: Revaluation Books, Exeter, United KingdomRevaluation Books
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US$ 86.29
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Hardcover. Condition: Brand New. 250 pages. 9.45x6.62x9.61 inches. In Stock.
- Hardcover
Seller: Speedyhen, Hertfordshire, United KingdomSpeedyhen
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Condition: NEW.
Dimensionality Reduction in Data Science
Garzon, Max (Editor) / Yang, Ching-Chi (Editor) / Venugopal, Deepak (Editor) / Kumar, Nirman (Editor) / Jana, Kalidas (Editor) / Deng, Lih-Yuan (Editor)
- Softcover
Seller: Revaluation Books, Exeter, United KingdomRevaluation Books
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Paperback. Condition: Brand New. 276 pages. 9.25x6.10x0.67 inches. In Stock.
- Hardcover
Seller: Books Puddle, New York, NY, U.S.A.Books Puddle
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Condition: New.
Language: English
Published by Springer, Berlin|Springer International Publishing|Springer, 2023
- Softcover
Seller: moluna, Greven, Germanymoluna
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Condition: New.
- Hardcover
Seller: Revaluation Books, Exeter, United KingdomRevaluation Books
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Hardcover. Condition: Brand New. 276 pages. 9.25x6.10x0.69 inches. In Stock.
- Softcover
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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Taschenbuch. Condition: 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 soluti…ons 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.
- Softcover
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book discusses the theory and practice of random number generators that are useful for computer simulation and computer security applications. Random numbers are ubiquitous in computation. They are used in randomized algorithms to perform samp…ling or choose randomly initialized parameters or perform Markov Chain Monte Carlo (MCMC). They are also used in computer security applications for various purposes such as cryptographic nuances or in authenticators. In practice, the random numbers used by any of these applications are from a pseudo-random sequence. These pseudo-random sequences are generated by RNGs (random number generators). This book discusses the theory underlying such RNGs, which are used by all programmers. However, few try to understand the theory behind them. This topic is an active area of research, particularly when the generators are used for cryptographic applications. The authors introduce readers to RNGs, how they are judged for quality, the mathematical and statistical theory behind them, as well as provide details on how these can be implemented in any programming language. The book discusses non-linear transformations that use classical linear generators for cryptographic applications and how to optimize to make such generators more efficient. In addition, the book provides up-to-date research on RNGs including a modern class of efficient RNGs and shows how to search for new RNGs with good quality and how to parallelize these RNGs.
Language: English
Published by Springer, Berlin|Springer International Publishing|Springer, 2022
- Hardcover
Seller: moluna, Greven, Germanymoluna
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Condition: New.
- Softcover
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Taschenbuch. Condition: Neu. Dimensionality Reduction in Data Science | Max Garzon (u. a.) | Taschenbuch | xi | Englisch | 2023 | Springer | EAN 9783031053733 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
- Hardcover
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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Buch. Condition: 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 fro…m 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.
Language: English
Published by Springer International Publishing AG, Cham, 2022
- Hardcover
Seller: AussieBookSeller, Truganina, VIC, AustraliaAussieBookSeller
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Hardcover. Condition: 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 m…athematics 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 our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
