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  • 1
    Book
    Book
    The Hunger Games by Suzanne Collins : book analysis (2016)
    [Verlagsort nicht ermittelbar] : BrightSummaries.com
    Details
    UID:
    (DE-603)43488488X
    Format: 38 Seiten
    ISBN: 9782806288516
    Additional Edition: Erscheint auch als Online-Ausgabe
    Additional Edition: 9782806281111
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
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    Book
    HeBIS
  • 2
    Online Resource
    Online Resource
    Dimensionality Reduction Via Matrix Factorization for Predictive Modeling from Large, Sparse Behavioral Data (2015)
    [S.l.] : SSRN
    Details
    UID:
    (DE-627)1791984142
    Format: 1 Online-Ressource (38 p)
    Series Statement: NYU Working Paper No. 2451/33970
    Content: Matrix factorization is a popular technique for engineering features for use in predictive models; it is viewed as a key part of the predictive analytics process and is used in many different domain areas. The purpose of this paper is to investigate matrix-factorization-based dimensionality reduction as a design artifact in predictive analytics. With the rise in availability of large amounts of sparse behavioral data, this investigation comes at a time when traditional techniques must be reevaluated. Our contribution is based on two lines of inquiry: we survey the literature on dimensionality reduction in predictive analytics, and we undertake an experimental evaluation comparing using dimensionality reduction versus not using dimensionality reduction for predictive modeling from large, sparse behavioral data. Our survey of the dimensionality reduction literature reveals that, despite mixed empirical evidence as to the benefit of computing dimensionality reduction, it is frequently applied in predictive modeling research and application without either comparing to a model built using the full feature set or utilizing state-of-the-art predictive modeling techniques for complexity control. This presents a concern, as the survey reveals complexity control as one of the main reasons for employing dimensionality reduction. This lack of comparison is troubling in light of our empirical results. We experimentally evaluate the e cacy of dimensionality reduction in the context of a collection of predictive modeling problems from a large-scale published study. We find that utilizing dimensionality reduction improves predictive performance only under certain, rather narrow, conditions. Specifically, under default regularization (complexity control)settings dimensionality reduction helps for the more di cult predictive problems (where the predictive performance of a model built using the original feature set is relatively lower), but it actually decreases the performance on the easier problems. More surprisingly, employing state-of-the-art methods for selecting regularization parameters actually eliminates any advantage that dimensionality reduction has! Since the value of building accurate predictive models for business analytics applications has been well-established, the resulting guidelines for the application of dimensionality reduction should lead to better research and managerial decisions
    Note: Nach Informationen von SSRN wurde die ursprüngliche Fassung des Dokuments May 2015 erstellt
    Language: English
    URL: kostenfrei
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    Online Resource
    BSZ
    GBV
  • 3
    Online Resource
    Online Resource
    Regaining motivation at work : simple steps to finding purpose and happiness in your work (2016)
    [Cork] : 50Minutes.com
    Details
    UID:
    (DE-602)b3kat_BV046685245
    Format: 1 Online-Ressource (32 Seiten) , Illustrationen
    ISBN: 9782806289100
    Series Statement: Coaching
    Note: Description based on publisher supplied metadata and other sources
    Additional Edition: Erscheint auch als Druck-Ausgabe 50MINUTES.COM Regaining Motivation at Work : Simple steps to finding purpose and happiness in your work Cork : 50Minutes.com,c2017
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
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    Online Resource
    HWR Berlin
    KOBV
  • 4
    Online Resource
    Online Resource
    Matrix-Factorization-Based Dimensionality Reduction in the Predictive Modeling Process : A Design Science Perspective (2016)
    [S.l.] : SSRN
    Details
    UID:
    (DE-627)1833530799
    Format: 1 Online-Ressource (41 p)
    Series Statement: NYU Working Paper No.
    Content: Dimensionality Reduction (DR) is frequently employed in the predictive modeling process with the goal of improving the generalization performance of models. This paper takes a design science perspective on DR.We treat it as an important business analytics artifact and investigate its utility in the context of binary classification, with the goal of understanding its proper use and thus improving predictive modeling research and practice. Despite DR's popularity, we show that many published studies fail to undertake the necessary comparison to establish that it actually improves performance. We then conduct an experimental comparison between binary classification with and without matrix-factorization-based DR as a preprocessing step on the features. In particular, we investigate DR in the context of supervised complexity control. These experiments utilize three classifiers and three matrix-factorization based DR techniques, and measure performance on a total of 26 classification tasks. We find that DR is generally not beneficial for binary classification. Specifically, the more difficult the problem, the more DR is able to improve performance (but it diminishes easier problems' performance). However, this relationship depends on complexity control: DR's benefit is actually eliminated completely when state-of-the-art methods are used for complexity control. The wide variety of experimental conditions allows us to dig more deeply into when and why the different forms of complexity control are useful. We find that L2-regularized logistic regression models trained on the original feature set have the best performance in general. The relative benefit provided by DR is increased when using a classifier that incorporates feature selection; unfortunately, the performance of these models, even with DR, is lower in general. We compare three matrix-factorization-based DR algorithms and nd that none does better than using the full feature set, but of the three, SVD has the best performance. The results in this paper should be broadly useful for researchers and industry practitioners who work in applied data science. In particular, they emphasize the design science principle that adding design elements to the predictive modeling process should be done with attention to whether they add value
    Note: Nach Informationen von SSRN wurde die ursprüngliche Fassung des Dokuments September 2016 erstellt
    Language: English
    URL: kostenfrei
    Library Location Call Number Volume/Issue/Year Availability
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    Online Resource
    BSZ
    GBV
  • 5
    Online Resource
    Online Resource
    How to Feed the World (2018)
    Washington, DC : Island Press/Center for Resource Economics | Cham : Springer International Publishing AG
    Details
    UID:
    (DE-603)43504012X
    Format: 1 Online-Ressource (VI, 249 Seiten) , 50 illus., 6 illus. in color.
    Edition: 1st ed. 2018
    ISBN: 9781610918855 , 1610918851
    Additional Edition: Erscheint auch als Druck-Ausgabe How to Feed the World Washington, DC : Island Press/Center for Resource Economics, 2018 9781610919890
    Additional Edition: 9781610919890
    Language: English
    DOI: 10.5822/978-1-61091-885-5
    URL: https://doi.org/10.5822/978-1-61091-885-5
    URL: Inhaltsverzeichnis
    URL: Ausführliche Beschreibung
    Library Location Call Number Volume/Issue/Year Availability
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    Online Resource
    Open Access Request
    HeBIS
  • 6
    Online Resource
    Online Resource
    How to feed the world (2018)
    Washington, DC : Island Press
    Details
    UID:
    (DE-627)1678781320
    Format: 1 Online-Ressource (249 pages) , illustrations
    ISBN: 1610918851 , 9781610918855
    Content: By 2050, we will have ten billion mouths to feed in a world profoundly altered by environmental change. How can we meet this challenge? In How to Feed the World, a diverse group of experts from Purdue University break down this crucial question by tackling big issues one-by-one. Covering population, water, land, climate change, technology, food systems, trade, food waste and loss, health, social buy-in, communication, and, lastly, the ultimate challenge of achieving equal access to food, the book reveals a complex web of factors that must be addressed in order to reach global food security. How to Feed the World unites contributors from different perspectives and academic disciplines, ranging from agronomy and hydrology to agricultural economy and communication. Hailing from Germany, the Philippines, the U.S., Ecuador, and beyond, the contributors weave their own life experiences into their chapters, connecting global issues to our tangible, day-to-day existence. Across every chapter, a similar theme emerges: these are not simple problems, yet we can overcome them. Doing so will require cooperation between farmers, scientists, policy makers, consumers, and many others. The resulting collection is an accessible but wide-ranging look at the modern food system. Readers will not only get a solid grounding in key issues, but be challenged to investigate further and contribute to the paramount effort to feed the world.--AMAZON
    Content: Inhabitants of earth -- The green, blue, and gray water rainbow -- The land that shapes and sustains us -- Our changing climate -- the technology ticket -- Systems -- Tangled trade -- Spoiled, rotten, and left behind -- Tipping the scales on health -- Social license to operate -- The information hinge -- Achieving equal access -- Conclusion.
    Note: Includes bibliographical references (pages 221-233) and index
    Additional Edition: 9781610918848
    Additional Edition: 1610918843
    Language: English
    DOI: 10.5822/978-1-61091-885-5
    URL: lizenzpflichtig
    Library Location Call Number Volume/Issue/Year Availability
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    Online Resource
    Open Access Request
    GBV
  • 7
    Book
    Book
    How to feed the world (2018)
    Washington, DC : Island Press
    Details
    UID:
    (DE-627)1027593151
    Format: 249 Seiten , illustrations, map , 24 cm
    ISBN: 9781610918848 , 9781610918831 , 1610918835 , 1610918843
    Content: By 2050, we will have ten billion mouths to feed in a world profoundly altered by environmental change. How can we meet this challenge? In How to Feed the World, a diverse group of experts from Purdue University break down this crucial question by tackling big issues one-by-one. Covering population, water, land, climate change, technology, food systems, trade, food waste and loss, health, social buy-in, communication, and, lastly, the ultimate challenge of achieving equal access to food, the book reveals a complex web of factors that must be addressed in order to reach global food security. How to Feed the World unites contributors from different perspectives and academic disciplines, ranging from agronomy and hydrology to agricultural economy and communication. Hailing from Germany, the Philippines, the U.S., Ecuador, and beyond, the contributors weave their own life experiences into their chapters, connecting global issues to our tangible, day-to-day existence. Across every chapter, a similar theme emerges: these are not simple problems, yet we can overcome them. Doing so will require cooperation between farmers, scientists, policy makers, consumers, and many others. The resulting collection is an accessible but wide-ranging look at the modern food system. Readers will not only get a solid grounding in key issues, but be challenged to investigate further and contribute to the paramount effort to feed the world.--
    Note: Enthält 12 Beiträge , Includes bibliographical references (pages 221-233) and index , Inhabitants of Earth , The green, blue, and gray water rainbow , The land that shapes and sustains us , Our changing climate , The technology ticket , Systems , Tangled trade , Spoiled, rotten, and left behind , Tipping the scales on health , Social license to operate , The information hinge , Achieving equal access , Conclusion
    Additional Edition: Erscheint auch als Online-Ausgabe How to Feed the World Washington, DC : Island Press/Center for Resource Economics, 2018 9781610918855
    Language: English
    Keywords: Bevölkerungswachstum ; Landwirtschaft ; Lebensmittelversorgung ; Nachhaltigkeit
    URL: Inhaltsverzeichnis
    Library Location Call Number Volume/Issue/Year Availability
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    Book
    Stabi Berlin get availability status
    GBV
  • 8
    Online Resource
    Online Resource
    How to Feed the World (2018)
    Washington, DC : Island Press/Center for Resource Economics
    Details
    UID:
    (DE-605)HT019766662
    Format: 1 Online-Ressource (VI, 249 p. 44 illus)
    ISBN: 9781610918855
    Additional Edition: Printed edition 9781610919890
    Language: English
    DOI: 10.5822/978-1-61091-885-5
    URL: http://dx.doi.org/10.5822/978-1-61091-885-5
    Library Location Call Number Volume/Issue/Year Availability
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    Online Resource
    Open Access Request
    HBZ
  • 9
    Online Resource
    Online Resource
    How to Feed the World (2018)
    Washington : Island Press
    Details
    UID:
    (DE-602)b3kat_BV045111568
    Format: 1 Online-Ressource (VI, 249 Seiten)
    ISBN: 9781610918855
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-1-61091-989-0
    Language: English
    Keywords: Aufsatzsammlung
    DOI: 10.5822/978-1-61091-885-5
    URL: Volltext  (URL des Erstveröffentlichers)
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    Online Resource
    Online Access
    Open Access Request
    HTW Berlin
    BTU Cottbus
    TU Berlin
    KOBV
  • 10
    Online Resource
    Online Resource
    How to feed the world (2018)
    Washington, D. C : Island Press
    Details
    UID:
    (DE-627)1049043413
    Format: 1 Online-Ressource (249 Seiten) , Illustrationen
    ISBN: 9781610918855
    Content: Front Cover -- About Island Press -- Subscribe -- Title Page -- Copyright Page -- Contents -- Introduction -- 1. Inhabitants of Earth -- 2. The Green, Blue, and Gray Water Rainbow -- 3. The Land That Shapes and Sustains Us -- 4. Our Changing Climate -- 5. The Technology Ticket -- 6. Systems -- 7. Tangled Trade -- 8. Spoiled, Rotten, and Left Behind -- 9. Tipping the Scales on Health -- 10. Social License to Operate -- 11. The Information Hinge -- 12. Achieving Equal Access -- Conclusion -- Afterword -- Acknowledgments -- Notes -- Contributors -- Index -- IP Board of Directors.
    Additional Edition: 9781610918831
    Additional Edition: Erscheint auch als Druck-Ausgabe Eise, Jessica How to Feed the World Washington, D. C : Island Press,c2018 9781610918831
    Language: English
    Keywords: Welternährung ; Landwirtschaft ; Ernährungssicherung
    URL: Volltext  (lizenzpflichtig)
    Library Location Call Number Volume/Issue/Year Availability
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    Online Resource
    Online Access
    BSZ
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