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ISBN 10: 1032600012ISBN 13: 9781032600017
Librería: Romtrade Corp., STERLING HEIGHTS, MI, Estados Unidos de America
Libro Edición internacional
Condición: New. Brand New Paperback International Edition.We Ship to PO BOX Address also. EXPEDITED shipping option also available for faster delivery.This item may ship from the US or other locations in India depending on your location and availability.
ISBN 10: 1032600012ISBN 13: 9781032600017
Librería: SMASS Sellers, IRVING, TX, Estados Unidos de America
Libro
Condición: New. Brand New, Softcover edition. This item may ship from the US or our Overseas warehouse depending on your location and stock availability. We Ship to PO BOX Address also.
Publicado por CRC Press 2023-09-25, Boca Raton, 2023
ISBN 10: 103204103XISBN 13: 9781032041032
Librería: Blackwell's, London, Reino Unido
Libro
paperback. Condición: New. Language: ENG.
Publicado por Taylor & Francis Ltd, 2023
ISBN 10: 103204103XISBN 13: 9781032041032
Librería: THE SAINT BOOKSTORE, Southport, Reino Unido
Libro
Paperback / softback. Condición: New. New copy - Usually dispatched within 4 working days.
Publicado por CRC Press, 2023
ISBN 10: 103204103XISBN 13: 9781032041032
Librería: GF Books, Inc., Hawthorne, CA, Estados Unidos de America
Libro
Condición: Very Good. Book is in Used-VeryGood condition. Pages and cover are clean and intact. Used items may not include supplementary materials such as CDs or access codes. May show signs of minor shelf wear and contain very limited notes and highlighting. 0.71.
Publicado por CRC Press, 2023
ISBN 10: 103204103XISBN 13: 9781032041032
Librería: GF Books, Inc., Hawthorne, CA, Estados Unidos de America
Libro
Condición: Fine. Book is in Used-LikeNew condition. Pages and cover are clean and intact. Used items may not include supplementary materials such as CDs or access codes. May show signs of minor shelf wear. 0.71.
Publicado por CRC Press, 2023
ISBN 10: 103204103XISBN 13: 9781032041032
Librería: GF Books, Inc., Hawthorne, CA, Estados Unidos de America
Libro
Condición: Good. Book is in Used-Good condition. Pages and cover are clean and intact. Used items may not include supplementary materials such as CDs or access codes. May show signs of minor shelf wear and contain limited notes and highlighting. 0.71.
Publicado por CRC Press, 2023
ISBN 10: 103204103XISBN 13: 9781032041032
Librería: Books Unplugged, Amherst, NY, Estados Unidos de America
Libro
Condición: New. Buy with confidence! Book is in new, never-used condition 0.71.
Publicado por CRC Press, 2023
ISBN 10: 103204103XISBN 13: 9781032041032
Librería: Book Deals, Tucson, AZ, Estados Unidos de America
Libro
Condición: Very Good. Very Good condition. Shows only minor signs of wear, and very minimal markings inside (if any). 0.71.
Publicado por CRC Press, 2023
ISBN 10: 103204103XISBN 13: 9781032041032
Librería: Book Deals, Tucson, AZ, Estados Unidos de America
Libro
Condición: Fine. Like New condition. Great condition, but not exactly fully crisp. The book may have been opened and read, but there are no defects to the book, jacket or pages. 0.71.
Publicado por CRC Press, 2023
ISBN 10: 103204103XISBN 13: 9781032041032
Librería: Book Deals, Tucson, AZ, Estados Unidos de America
Libro
Condición: Fair. Acceptable/Fair condition. Book is worn, but the pages are complete, and the text is legible. Has wear to binding and pages, may be ex-library. 0.71.
Publicado por CRC Press, 2023
ISBN 10: 103204103XISBN 13: 9781032041032
Librería: Books Unplugged, Amherst, NY, Estados Unidos de America
Libro
Condición: Fair. Buy with confidence! Book is in acceptable condition with wear to the pages, binding, and some marks within 0.71.
Publicado por CRC Press, 2023
ISBN 10: 103204103XISBN 13: 9781032041032
Librería: Book Deals, Tucson, AZ, Estados Unidos de America
Libro
Condición: New. New! This book is in the same immaculate condition as when it was published 0.71.
Publicado por CRC Press, 2023
ISBN 10: 103204103XISBN 13: 9781032041032
Librería: PBShop.store US, Wood Dale, IL, Estados Unidos de America
Libro Impresión bajo demanda
PAP. Condición: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Publicado por CRC Pr I Llc, 2023
ISBN 10: 103204103XISBN 13: 9781032041032
Librería: Revaluation Books, Exeter, Reino Unido
Libro
Paperback. Condición: Brand New. 174 pages. 9.19x6.13x0.40 inches. In Stock.
Publicado por Taylor & Francis Ltd, London, 2023
ISBN 10: 103204103XISBN 13: 9781032041032
Librería: Grand Eagle Retail, Wilmington, DE, Estados Unidos de America
Libro
Paperback. Condición: new. Paperback. Unsupervised Learning Approaches for Dimensionality Reduction and Data Visualization describes such algorithms as Locally Linear Embedding (LLE), Laplacian Eigenmaps, Isomap, Semidefinite Embedding, and t-SNE to resolve the problem of dimensionality reduction in the case of non-linear relationships within the data. Underlying mathematical concepts, derivations, and proofs with logical explanations for these algorithms are discussed, including strengths and limitations. The book highlights important use cases of these algorithms and provides examples along with visualizations. Comparative study of the algorithms is presented to give a clear idea on selecting the best suitable algorithm for a given dataset for efficient dimensionality reduction and data visualization.FEATURES Demonstrates how unsupervised learning approaches can be used for dimensionality reduction Neatly explains algorithms with a focus on the fundamentals and underlying mathematical concepts Describes the comparative study of the algorithms and discusses when and where each algorithm is best suitable for use Provides use cases, illustrative examples, and visualizations of each algorithm Helps visualize and create compact representations of high dimensional and intricate data for various real-world applications and data analysisThis book is aimed at professionals, graduate students, and researchers in Computer Science and Engineering, Data Science, Machine Learning, Computer Vision, Data Mining, Deep Learning, Sensor Data Filtering, Feature Extraction for Control Systems, and Medical Instruments Input Extraction. This book describes algorithms like Locally Linear Embedding, Laplacian eigenmaps, Semidefinite Embedding, t-SNE to resolve the problem of dimensionality reduction in case of non-linear relationships within the data. Underlying mathematical concepts, derivations, proofs, strengths and limitations of these algorithms are discussed as well. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Publicado por CRC Press, 2023
ISBN 10: 103204103XISBN 13: 9781032041032
Librería: Ria Christie Collections, Uxbridge, Reino Unido
Libro
Condición: New. In.
Publicado por CRC Press, 2023
ISBN 10: 103204103XISBN 13: 9781032041032
Librería: California Books, Miami, FL, Estados Unidos de America
Libro
Condición: New.
Publicado por CRC Pr I Llc, 2023
ISBN 10: 103204103XISBN 13: 9781032041032
Librería: Revaluation Books, Exeter, Reino Unido
Libro
Paperback. Condición: Brand New. 174 pages. 9.19x6.13x0.40 inches. In Stock.
Publicado por Taylor & Francis Ltd, 2023
ISBN 10: 103204103XISBN 13: 9781032041032
Librería: THE SAINT BOOKSTORE, Southport, Reino Unido
Libro Impresión bajo demanda
Paperback / softback. Condición: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.
Publicado por CRC Press, 2023
ISBN 10: 103204103XISBN 13: 9781032041032
Librería: moluna, Greven, Alemania
Libro Impresión bajo demanda
Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. B.K. Tripathy, Anveshrithaa Sundareswaran, Shrusti GhelaDemonstrates how unsupervised learning approaches can be used for dimensionality reduction Neatly explains algorithms with focus on the fundamentals and underlying mathematical concepts .
Publicado por CRC Press, 2023
ISBN 10: 103204103XISBN 13: 9781032041032
Librería: PBShop.store UK, Fairford, GLOS, Reino Unido
Libro Impresión bajo demanda
PAP. Condición: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Publicado por CRC Press, 2023
ISBN 10: 103204103XISBN 13: 9781032041032
Librería: Mispah books, Redhill, SURRE, Reino Unido
Libro
paperback. Condición: New. New. book.
Publicado por Taylor & Francis Ltd, London, 2023
ISBN 10: 103204103XISBN 13: 9781032041032
Librería: AussieBookSeller, Truganina, VIC, Australia
Libro
Paperback. Condición: new. Paperback. Unsupervised Learning Approaches for Dimensionality Reduction and Data Visualization describes such algorithms as Locally Linear Embedding (LLE), Laplacian Eigenmaps, Isomap, Semidefinite Embedding, and t-SNE to resolve the problem of dimensionality reduction in the case of non-linear relationships within the data. Underlying mathematical concepts, derivations, and proofs with logical explanations for these algorithms are discussed, including strengths and limitations. The book highlights important use cases of these algorithms and provides examples along with visualizations. Comparative study of the algorithms is presented to give a clear idea on selecting the best suitable algorithm for a given dataset for efficient dimensionality reduction and data visualization.FEATURES Demonstrates how unsupervised learning approaches can be used for dimensionality reduction Neatly explains algorithms with a focus on the fundamentals and underlying mathematical concepts Describes the comparative study of the algorithms and discusses when and where each algorithm is best suitable for use Provides use cases, illustrative examples, and visualizations of each algorithm Helps visualize and create compact representations of high dimensional and intricate data for various real-world applications and data analysisThis book is aimed at professionals, graduate students, and researchers in Computer Science and Engineering, Data Science, Machine Learning, Computer Vision, Data Mining, Deep Learning, Sensor Data Filtering, Feature Extraction for Control Systems, and Medical Instruments Input Extraction. This book describes algorithms like Locally Linear Embedding, Laplacian eigenmaps, Semidefinite Embedding, t-SNE to resolve the problem of dimensionality reduction in case of non-linear relationships within the data. Underlying mathematical concepts, derivations, proofs, strengths and limitations of these algorithms are discussed as well. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Publicado por CRC Press 2021-09-08, 2021
ISBN 10: 1032041013ISBN 13: 9781032041018
Librería: Chiron Media, Wallingford, Reino Unido
Libro
Hardcover. Condición: New.
Publicado por CRC Press, 2021
ISBN 10: 1032041013ISBN 13: 9781032041018
Librería: moluna, Greven, Alemania
Libro Impresión bajo demanda
Gebunden. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Dr. B. K. Tripathy, a distinguished researcher in Mathematics and Computer Science has more than 600 publications to his credit in international journals, conference proceedings, chapters in edited research volumes, edited volumes, monog.
Publicado por CRC Pr I Llc, 2021
ISBN 10: 1032041013ISBN 13: 9781032041018
Librería: Revaluation Books, Exeter, Reino Unido
Libro
Hardcover. Condición: Brand New. 312 pages. 9.50x6.25x0.75 inches. In Stock.