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Dimensionality Reduction Machine Learning (37 results)
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Condition: As New. Unread book in perfect condition.
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Machine Learning Techniques for Text: Apply modern techniques with Python for text processing, dimensionality reduction, classification, and evaluation
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 38.30
£ 11.98 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
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Machine Learning Techniques for Text: Apply modern techniques with Python for text processing, dimensionality reduction, classification, and evaluatio
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New.
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Machine Learning Techniques for Text: Apply modern techniques with Python for text processing, dimensionality reduction, classification, and evaluatio (Paperback or Softback)
Language: English
Published by Packt Publishing 10/31/2022, 2022
ISBN 10: 1803242388 ISBN 13: 9781803242385
Paperback or Softback. Condition: New. Machine Learning Techniques for Text: Apply modern techniques with Python for text processing, dimensionality reduction, classification, and evaluatio. Book.
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Machine Learning Techniques for Text: Apply modern techniques with Python for text processing, dimensionality reduction, classification, and evaluatio
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: As New. Unread book in perfect condition.
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Dimensionality Reduction in Machine Learning (Paperback)
Language: English
Published by Elsevier Science & Technology, San Francisco, 2025
ISBN 10: 0443328188 ISBN 13: 9780443328183
Paperback. Condition: new. Paperback. Dimensionality Reduction in Machine Learning covers both the mathematical and programming sides of dimension reduction algorithms, comparing them in various aspects. Part One provides an introduction to Machine Learning and the Data Life Cycle, with chapters covering the basic concepts of Machine Learning, essential mathematics for Machine Learning, and the methods and concepts of Feature Selection. Part Two covers Linear Methods for Dimension Reduction, with chapters on Principal Component Analysis and Linear Discriminant Analysis. Part Three covers Non-Linear Methods for Dimension Reduction, with chapters on Linear Local Embedding, Multi-dimensional Scaling, and t-distributed Stochastic Neighbor Embedding.Finally, Part Four covers Deep Learning Methods for Dimension Reduction, with chapters on Feature Extraction and Deep Learning, Autoencoders, and Dimensionality reduction in deep learning through group actions. With this stepwise structure and the applied code examples, readers become able to apply dimension reduction algorithms to different types of data, including tabular, text, and image data. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Paperback. Condition: Brand New. 196 pages. 9.21x6.14x0.42 inches. In Stock.
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Machine Learning Approach: For dimensionality reduction of microarray data
Language: English
Published by LAP LAMBERT Academic Publishing, 2020
ISBN 10: 620056843X ISBN 13: 9786200568434
Paperback. Condition: Brand New. 152 pages. 8.66x5.91x0.35 inches. In Stock.
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paperback. Condition: New. New. book.
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Multilinear Subspace Learning: Dimensionality Reduction of Multidimensional Data (Chapman & Hall/CRC Machine Learning & Pattern Recognition)
Book 4 of 15: Chapman & Hall/Crc Machine Learning & Pattern RecognitionLanguage: English
Published by Chapman and Hall/CRC 2013-12-11, 2013
ISBN 10: 1439857245 ISBN 13: 9781439857243
Hardcover. Condition: New.
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Multilinear Subspace Learning: Dimensionality Reduction of Multidimensional Data (Chapman & Hall/CRC Machine Learning & Pattern Recognition)
Book 4 of 15: Chapman & Hall/Crc Machine Learning & Pattern RecognitionLanguage: English
Published by Chapman and Hall/CRC, 2013
ISBN 10: 1439857245 ISBN 13: 9781439857243
Condition: New.
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Multilinear Subspace Learning: Dimensionality Reduction of Multidimensional Data (Chapman & Hall/CRC Machine Learning & Pattern Recognition)
Book 4 of 15: Chapman & Hall/Crc Machine Learning & Pattern RecognitionLanguage: English
Published by Chapman and Hall/CRC, 2013
ISBN 10: 1439857245 ISBN 13: 9781439857243
hardcover. 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!
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Machine Learning Approach: For dimensionality reduction of microarray data
Language: English
Published by LAP LAMBERT Academic Publishing, 2020
ISBN 10: 620056843X ISBN 13: 9786200568434
Condition: New.
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Machine Learning Techniques for Text : Apply Modern Techniques with Python for Text Processing, Dimensionality Reduction, Classification, and Evaluation
Language: English
Published by Packt Publishing, Limited, 2022
ISBN 10: 1803242388 ISBN 13: 9781803242385
Condition: Very Good. Used book that is in excellent condition. May show signs of wear or have minor defects.
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Condition: New.
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Multilinear Subspace Learning: Dimensionality Reduction of Multidimensional Data (Chapman & Hall/CRC Machine Learning & Pattern Recognition)
Book 4 of 15: Chapman & Hall/Crc Machine Learning & Pattern RecognitionLanguage: English
Published by Chapman and Hall/CRC, 2013
ISBN 10: 1439857245 ISBN 13: 9781439857243
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 128.06
£ 11.98 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. In.
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Condition: New.
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Condition: New.
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Paperback. Condition: Brand New. 250 pages. 9.25x7.50x9.22 inches. In Stock.
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Condition: As New. Unread book in perfect condition.
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Condition: New.
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Paperback. Condition: Brand New. 250 pages. 9.25x7.50x9.22 inches. In Stock.
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paperback. Condition: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
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Dimensionality Reduction in Machine Learning
Language: English
Published by Elsevier Science Feb 2025, 2025
ISBN 10: 0443328188 ISBN 13: 9780443328183
Taschenbuch. Condition: Neu. Neuware - Dimensionality Reduction in Machine Learning covers both the mathematical and programming sides of dimension reduction algorithms, comparing them in various aspects. Part One provides an introduction to Machine Learning and the Data Life Cycle, with chapters covering the basic concepts of Machine Learning, essential mathematics for Machine Learning, and the methods and concepts of Feature Selection. Part Two covers Linear Methods for Dimension Reduction, with chapters on Principal Component Analysis and Linear Discriminant Analysis. Part Three covers Non-Linear Methods for Dimension Reduction, with chapters on Linear Local Embedding, Multi-dimensional Scaling, and t-distributed Stochastic Neighbor Embedding.Finally, Part Four covers Deep Learning Methods for Dimension Reduction, with chapters on Feature Extraction and Deep Learning, Autoencoders, and Dimensionality reduction in deep learning through group actions. With this stepwise structure and the applied code examples, readers become able to apply dimension reduction algorithms to different types of data, including tabular, text, and image data.
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Machine Learning Techniques for Text: Apply modern Python techniques for text preprocessing, dimensionality reduction and performance
Language: English
Published by Packt Publishing Limited, 2022
ISBN 10: 1803242388 ISBN 13: 9781803242385
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
£ 44.51
£ 11.75 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketPaperback / softback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.
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Machine Learning Approach: For dimensionality reduction of microarray data
Language: English
Published by LAP LAMBERT Academic Publishing, 2020
ISBN 10: 620056843X ISBN 13: 9786200568434
Condition: New. Print on Demand.
-
Machine Learning Approach: For dimensionality reduction of microarray data
Language: English
Published by LAP LAMBERT Academic Publishing, 2020
ISBN 10: 620056843X ISBN 13: 9786200568434
Condition: New. PRINT ON DEMAND.
