Modern Dimension Reduction (Elements in Quantitative and Computational Methods for the Social Sciences) - Softcover
Synopsis
In the big data age, this Element offers many modern methods and opensource code for learning from high dimensional data.
"synopsis" may belong to another edition of this title.
Search results for Modern Dimension Reduction (Elements in Quantitative...
Seller Image
Modern Dimension Reduction (Paperback or Softback)
Published by
Cambridge University Press 8/5/2021, 2021
ISBN 10: 1108986897
ISBN 13: 9781108986892
New
Paperback or Softback
Seller: BargainBookStores, Grand Rapids, MI, U.S.A.
Seller rating 5 out of 5 stars
Paperback or Softback. Condition: New. Modern Dimension Reduction. Book. Seller Inventory # BBS-9781108986892
Stock Image
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
New
Softcover
Seller: Lucky's Textbooks, Dallas, TX, U.S.A.
Seller rating 5 out of 5 stars
Condition: New. Seller Inventory # ABLIING23Mar2317530289423
Stock Image
Modern Dimension Reduction (Paperback)
Published by
Cambridge University Press, Cambridge, 2021
ISBN 10: 1108986897
ISBN 13: 9781108986892
New
Paperback
Seller: Grand Eagle Retail, Bensenville, IL, U.S.A.
Seller rating 5 out of 5 stars
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. Seller Inventory # 9781108986892
Stock Image
Modern Dimension Reduction
Published by
Cambridge University Press, 2021
ISBN 10: 1108986897
ISBN 13: 9781108986892
New
Paperback
Seller: Revaluation Books, Exeter, United Kingdom
Seller rating 5 out of 5 stars
Paperback. Condition: Brand New. 75 pages. 9.02x5.98x0.20 inches. In Stock. This item is printed on demand. Seller Inventory # __1108986897
Stock Image
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
New
Softcover
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
Condition: New. In. Seller Inventory # ria9781108986892_new
Buy New
£ 21.45
Shipping:
£ 11.98
From United Kingdom to U.S.A.
Quantity: Over 20 available
Stock Image
Modern Dimension Reduction
Published by
Cambridge University Press, 2021
ISBN 10: 1108986897
ISBN 13: 9781108986892
New
Paperback / softback
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
Paperback / softback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 160. Seller Inventory # C9781108986892
Buy New
£ 21.64
Shipping:
£ 12.35
From United Kingdom to U.S.A.
Quantity: Over 20 available
Stock Image
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
New
Paperback
Seller: Chiron Media, Wallingford, United Kingdom
Seller rating 4 out of 5 stars
Paperback. Condition: New. Seller Inventory # 6666-IUK-9781108986892
Buy New
£ 19.05
Shipping:
£ 15.49
From United Kingdom to U.S.A.
Quantity: 10 available
Stock Image
Modern Dimension Reduction (Paperback)
Published by
Cambridge University Press, Cambridge, 2021
ISBN 10: 1108986897
ISBN 13: 9781108986892
New
Paperback
Seller: AussieBookSeller, Truganina, VIC, Australia
Seller rating 5 out of 5 stars
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 our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. Seller Inventory # 9781108986892
Stock Image
Modern Dimension Reduction (Paperback)
Published by
Cambridge University Press, Cambridge, 2021
ISBN 10: 1108986897
ISBN 13: 9781108986892
New
Paperback
Seller: CitiRetail, Stevenage, United Kingdom
Seller rating 5 out of 5 stars
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 our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9781108986892
Seller Image
Modern Dimension Reduction
Published by
Cambridge University Press, 2021
ISBN 10: 1108986897
ISBN 13: 9781108986892
New
Softcover
Seller: moluna, Greven, Germany
Seller rating 4 out of 5 stars
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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. Seller Inventory # 483795968