paperback. Condizione: Very Good. Connecting readers with great books since 1972! Used books may not include companion materials, and may have some shelf wear or limited writing. We ship orders daily and Customer Service is our top priority!
Editore: Princeton University Press, 2016
ISBN 10: 0691172870 ISBN 13: 9780691172873
Lingua: Inglese
Da: David's Books, Ypsilanti, MI, U.S.A.
Hardcover. Condizione: Very Good. Condizione sovraccoperta: Very Good. Folio - over 12" - 15" ta.
Condizione: New.
Condizione: New.
Condizione: New.
Condizione: As New. Unread book in perfect condition.
Editore: Cambridge University Press, 2021
ISBN 10: 110879338X ISBN 13: 9781108793384
Lingua: Inglese
Da: GreatBookPrices, Columbia, MD, U.S.A.
Condizione: New.
Editore: Cambridge University Press 1/28/2021, 2021
ISBN 10: 110879338X ISBN 13: 9781108793384
Lingua: Inglese
Da: BargainBookStores, Grand Rapids, MI, U.S.A.
Paperback or Softback. Condizione: New. Unsupervised Machine Learning for Clustering in Political and Social Research. Book.
Editore: Cambridge University Press 8/5/2021, 2021
ISBN 10: 1108986897 ISBN 13: 9781108986892
Lingua: Inglese
Da: BargainBookStores, Grand Rapids, MI, U.S.A.
Paperback or Softback. Condizione: New. Modern Dimension Reduction. Book.
Editore: Cambridge University Press, 2021
ISBN 10: 1108986897 ISBN 13: 9781108986892
Lingua: Inglese
Da: Lucky's Textbooks, Dallas, TX, U.S.A.
Condizione: New.
Editore: Cambridge University Press, 2021
ISBN 10: 110879338X ISBN 13: 9781108793384
Lingua: Inglese
Da: Lucky's Textbooks, Dallas, TX, U.S.A.
Condizione: New.
Editore: Cambridge University Press, 2021
ISBN 10: 110879338X ISBN 13: 9781108793384
Lingua: Inglese
Da: California Books, Miami, FL, U.S.A.
Condizione: New.
Paperback. Condizione: New.
Editore: Cambridge University Press, 2021
ISBN 10: 110879338X ISBN 13: 9781108793384
Lingua: Inglese
Da: GreatBookPrices, Columbia, MD, U.S.A.
Condizione: As New. Unread book in perfect condition.
Da: Frey Fine Books, Rougemont, NC, U.S.A.
Prima edizione
Hardcover. Condizione: Near Fine. Condizione sovraccoperta: Near Fine. 1st edition. 1st edition thus, 2015. A Near Fine book in a Near Fine dust jacket. Square 4to., 367 pp., bound in grey cloth with photo illustrated dust jacket, $65.00. Minor signs of shelf wear only, text appears unmarked. Dust jacket now protected in mylar sleeve.
Editore: Cambridge University Press, Cambridge, 2021
ISBN 10: 110879338X ISBN 13: 9781108793384
Lingua: Inglese
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
Paperback. Condizione: new. Paperback. In the age of data-driven problem-solving, applying sophisticated computational tools for explaining substantive phenomena is a valuable skill. Yet, application of methods assumes an understanding of the data, structure, and patterns that influence the broader research program. This Element offers researchers and teachers an introduction to clustering, which is a prominent class of unsupervised machine learning for exploring and understanding latent, non-random structure in data. A suite of widely used clustering techniques is covered in this Element, in addition to R code and real data to facilitate interaction with the concepts. Upon setting the stage for clustering, the following algorithms are detailed: agglomerative hierarchical clustering, k-means clustering, Gaussian mixture models, and at a higher-level, fuzzy C-means clustering, DBSCAN, and partitioning around medoids (k-medoids) clustering. Offers researchers and teachers an introduction to clustering, which is a prominent class of unsupervised machine learning for exploring and understanding latent, non-random structure in data. A suite of widely used clustering techniques is covered, in addition to R code and real data to facilitate interaction with the concepts. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Editore: Cambridge University Press, Cambridge, 2021
ISBN 10: 1108986897 ISBN 13: 9781108986892
Lingua: Inglese
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
Paperback. Condizione: new. Paperback. Data are not only ubiquitous in society, but are increasingly complex both in size and dimensionality. Dimension reduction offers researchers and scholars the ability to make such complex, high dimensional data spaces simpler and more manageable. This Element offers readers a suite of modern unsupervised dimension reduction techniques along with hundreds of lines of R code, to efficiently represent the original high dimensional data space in a simplified, lower dimensional subspace. Launching from the earliest dimension reduction technique principal components analysis and using real social science data, I introduce and walk readers through application of the following techniques: locally linear embedding, t-distributed stochastic neighbor embedding (t-SNE), uniform manifold approximation and projection, self-organizing maps, and deep autoencoders. The result is a well-stocked toolbox of unsupervised algorithms for tackling the complexities of high dimensional data so common in modern society. All code is publicly accessible on Github. Dimension reduction offers researchers and scholars the ability to make complex, high dimensional data spaces simpler and more manageable. This Element offers readers a suite of modern unsupervised dimension reduction techniques to efficiently represent the original high dimensional data space in a simplified, lower dimensional subspace. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Da: Wickham Books South, NAPLES, FL, U.S.A.
Hardcover. Condizione: Very Good. Condizione sovraccoperta: Very Good. First Printing. In VG+ DJ (in protector) ; Gray cloth hardcover. Color and B&W photos, index. Exhibition catalog ; Square 4to (12.1 X 1.7 X 11.6 inches); x + 380 pages.
Condizione: New.
EUR 20,99
Quantità: 2 disponibili
Aggiungi al carrelloPaperback. Condizione: Brand New. 320 pages. 6.00x0.73x9.00 inches. In Stock.
EUR 20,35
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. In.
Editore: Princeton University Press, 2016
ISBN 10: 0691172870 ISBN 13: 9780691172873
Lingua: Inglese
Da: Strand Book Store, ABAA, New York, NY, U.S.A.
Oversized Hardcover. Condizione: Good.
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 21,34
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. In.
EUR 20,61
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Aggiungi al carrelloCondizione: New.
Editore: Cambridge University Press, 2021
ISBN 10: 110879338X ISBN 13: 9781108793384
Lingua: Inglese
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 24,63
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. In.
Editore: Cambridge University Press, 2021
ISBN 10: 1108986897 ISBN 13: 9781108986892
Lingua: Inglese
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 25,29
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. In.
Editore: Cambridge University Press 2020-10-31, 2020
ISBN 10: 110879338X ISBN 13: 9781108793384
Lingua: Inglese
Da: Chiron Media, Wallingford, Regno Unito
EUR 21,78
Quantità: 1 disponibili
Aggiungi al carrelloPaperback. Condizione: New.
EUR 22,73
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Editore: Cambridge University Press 2020-10-31, 2020
ISBN 10: 110879338X ISBN 13: 9781108793384
Lingua: Inglese
Da: Chiron Media, Wallingford, Regno Unito
EUR 22,40
Quantità: 10 disponibili
Aggiungi al carrelloPaperback. Condizione: New.
Editore: Cambridge University Press 2021-07-31, 2021
ISBN 10: 1108986897 ISBN 13: 9781108986892
Lingua: Inglese
Da: Chiron Media, Wallingford, Regno Unito
EUR 22,47
Quantità: 10 disponibili
Aggiungi al carrelloPaperback. Condizione: New.