Order Total (1 Item Items):
Shipping Destination:
Waggoner Philip D (67 results)
Skip to main search results
Search filters
Product Type
- All Product Types
- Books (67)
- Magazines & Periodicals (No further results match this refinement)
- Comics (No further results match this refinement)
- Sheet Music (No further results match this refinement)
- Art, Prints & Posters (No further results match this refinement)
- Photographs (No further results match this refinement)
- Maps (No further results match this refinement)
- Manuscripts & Paper Collectibles (No further results match this refinement)
Condition Learn more
- New (61)
- As New, Fine or Near Fine (3)
- Very Good or Good (3)
- Fair or Poor (No further results match this refinement)
- As Described (No further results match this refinement)
Binding
Collectible Attributes
- First Edition (No further results match this refinement)
- Signed (No further results match this refinement)
- Dust Jacket (No further results match this refinement)
- Seller-Supplied Images (15)
- Not Print on Demand (55)
Language (1)
Free Shipping
Seller Location
Seller Rating
-
paperback. Condition: 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!
-
Condition: New.
-
Unsupervised Machine Learning for Clustering in Political and Social Research
Published by Cambridge University Press, 2021
ISBN 10: 110879338X ISBN 13: 9781108793384
Language: English
US$ 25.18
Convert currencyUS$ 2.64 shipping within U.S.A.Quantity: Over 20 available
Add to basketCondition: New.
-
Unsupervised Machine Learning for Clustering in Political and Social Research (Paperback or Softback)
Published by Cambridge University Press 1/28/2021, 2021
ISBN 10: 110879338X ISBN 13: 9781108793384
Language: English
Paperback or Softback. Condition: New. Unsupervised Machine Learning for Clustering in Political and Social Research. Book.
-
Modern Dimension Reduction (Paperback or Softback)
Published by Cambridge University Press 8/5/2021, 2021
ISBN 10: 1108986897 ISBN 13: 9781108986892
Language: English
Paperback or Softback. Condition: New. Modern Dimension Reduction. Book.
-
Modern Dimension Reduction (Elements in Quantitative and Computational Methods for the Social Sciences)
Published by Cambridge University Press, 2021
ISBN 10: 1108986897 ISBN 13: 9781108986892
Language: English
US$ 24.75
Convert currencyUS$ 3.99 shipping within U.S.A.Quantity: Over 20 available
Add to basketCondition: New.
-
Unsupervised Machine Learning for Clustering in Political and Social Research (Elements in Quantitative and Computational Methods for the Social Sciences)
Published by Cambridge University Press, 2021
ISBN 10: 110879338X ISBN 13: 9781108793384
Language: English
US$ 24.75
Convert currencyUS$ 3.99 shipping within U.S.A.Quantity: Over 20 available
Add to basketCondition: New.
-
Unsupervised Machine Learning for Clustering in Political and Social Research (Elements in Quantitative and Computational Methods for the Social Sciences)
Published by Cambridge University Press, 2021
ISBN 10: 110879338X ISBN 13: 9781108793384
Language: English
Condition: New.
-
Unsupervised Machine Learning for Clustering in Political and Social Research
Published by Cambridge University Press, 2021
ISBN 10: 110879338X ISBN 13: 9781108793384
Language: English
US$ 27.72
Convert currencyUS$ 2.64 shipping within U.S.A.Quantity: Over 20 available
Add to basketCondition: As New. Unread book in perfect condition.
-
Unsupervised Machine Learning for Clustering in Political and Social Research (Paperback)
Published by Cambridge University Press, Cambridge, 2021
ISBN 10: 110879338X ISBN 13: 9781108793384
Language: English
Paperback. Condition: 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.
-
Modern Dimension Reduction (Paperback)
Published by Cambridge University Press, Cambridge, 2021
ISBN 10: 1108986897 ISBN 13: 9781108986892
Language: English
Paperback. Condition: 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.
-
Condition: New.
-
Playlist of the Damned
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
US$ 23.86
Convert currencyUS$ 16.09 shipping from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. In.
-
Unsupervised Machine Learning for Clustering in Political and Social Research (Elements in Quantitative and Computational Methods for the Social Sciences)
Published by Cambridge University Press, 2021
ISBN 10: 110879338X ISBN 13: 9781108793384
Language: English
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
US$ 28.88
Convert currencyUS$ 16.09 shipping from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. In.
-
Modern Dimension Reduction (Elements in Quantitative and Computational Methods for the Social Sciences)
Published by Cambridge University Press, 2021
ISBN 10: 1108986897 ISBN 13: 9781108986892
Language: English
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
US$ 29.66
Convert currencyUS$ 16.09 shipping from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. In.
-
Unsupervised Machine Learning for Clustering in Political and Social Research (Elements in Quantitative and Computational Methods for the Social Sciences)
Published by Cambridge University Press 2020-10-31, 2020
ISBN 10: 110879338X ISBN 13: 9781108793384
Language: English
US$ 25.54
Convert currencyUS$ 20.80 shipping from United Kingdom to U.S.A.Quantity: 1 available
Add to basketPaperback. Condition: New.
-
Unsupervised Machine Learning for Clustering in Political and Social Research (Elements in Quantitative and Computational Methods for the Social Sciences)
Published by Cambridge University Press 2020-10-31, 2020
ISBN 10: 110879338X ISBN 13: 9781108793384
Language: English
US$ 26.26
Convert currencyUS$ 20.80 shipping from United Kingdom to U.S.A.Quantity: 10 available
Add to basketPaperback. Condition: New.
-
Modern Dimension Reduction (Elements in Quantitative and Computational Methods for the Social Sciences)
Published by Cambridge University Press 2021-07-31, 2021
ISBN 10: 1108986897 ISBN 13: 9781108986892
Language: English
US$ 26.34
Convert currencyUS$ 20.80 shipping from United Kingdom to U.S.A.Quantity: 10 available
Add to basketPaperback. Condition: New.
-
Unsupervised Machine Learning for Clustering in Political and Social Research
Published by Cambridge University Press, 2021
ISBN 10: 110879338X ISBN 13: 9781108793384
Language: English
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Ireland
Seller rating 5 out of 5 stars
US$ 35.34
Convert currencyUS$ 12.24 shipping from Ireland to U.S.A.Quantity: 1 available
Add to basketCondition: New. 2021. Paperback. . . . . .
-
Unsupervised Machine Learning for Clustering in Political and Social Research (Elements in Quantitative and Computational Methods for the Social Sciences)
Published by Cambridge University Press, 2021
ISBN 10: 110879338X ISBN 13: 9781108793384
Language: English
Condition: New. pp. 75.
-
Unsupervised Machine Learning for Clustering in Political and Social Research
Published by Cambridge University Press, 2021
ISBN 10: 110879338X ISBN 13: 9781108793384
Language: English
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 28.87
Convert currencyUS$ 20.14 shipping from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New.
-
Unsupervised Machine Learning for Clustering in Political and Social Research
Published by Cambridge University Press, 2021
ISBN 10: 110879338X ISBN 13: 9781108793384
Language: English
Condition: New. 2021. Paperback. . . . . . Books ship from the US and Ireland.
-
Unsupervised Machine Learning for Clustering in Political and Social Research
Published by Cambridge University Press, 2021
ISBN 10: 110879338X ISBN 13: 9781108793384
Language: English
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 33.86
Convert currencyUS$ 20.14 shipping from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: As New. Unread book in perfect condition.
-
US$ 24.42
Convert currencyUS$ 33.57 shipping from United Kingdom to U.S.A.Quantity: 2 available
Add to basketPaperback. Condition: Brand New. 320 pages. 6.00x0.73x9.00 inches. In Stock.
-
Unsupervised Machine Learning for Clustering in Political and Social Research
Published by Cambridge University Press, 2021
ISBN 10: 110879338X ISBN 13: 9781108793384
Language: English
US$ 35.23
Convert currencyUS$ 33.57 shipping from United Kingdom to U.S.A.Quantity: 2 available
Add to basketPaperback. Condition: Brand New. 75 pages. 8.94x5.91x0.28 inches. In Stock.
-
paperback. Condition: Good. Used books may not include access codes or one time use codes. Proven Seller with Excellent Customer Service. Choose expedited shipping and get it FAST.
-
paperback. Condition: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!
-
UNSUPERVISED MACHINE LEARNING FOR CLUSTE
Published by Cambridge University Press, 2021
ISBN 10: 110879338X ISBN 13: 9781108793384
Language: English
US$ 26.36
Convert currencyUS$ 55.05 shipping from United Kingdom to U.S.A.Quantity: 1 available
Add to basketCondition: NEW.
-
Modern Dimension Reduction (Paperback)
Published by Cambridge University Press, Cambridge, 2021
ISBN 10: 1108986897 ISBN 13: 9781108986892
Language: English
US$ 44.93
Convert currencyUS$ 37.00 shipping from Australia to U.S.A.Quantity: 1 available
Add to basketPaperback. Condition: 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 our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
-
Unsupervised Machine Learning for Clustering in Political and Social Research (Paperback)
Published by Cambridge University Press, Cambridge, 2021
ISBN 10: 110879338X ISBN 13: 9781108793384
Language: English
US$ 44.93
Convert currencyUS$ 37.00 shipping from Australia to U.S.A.Quantity: 1 available
Add to basketPaperback. Condition: 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 our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
