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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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Kickstart Unsupervised Machine Learning: Master Unsupervised Machine Learning Through Pattern Discovery, Clustering, and Dimensionality Reduction to ... Real-World Applications (English Edition)
Language: English
Published by Orange Education Pvt Ltd, 2025
ISBN 10: 9349887436 ISBN 13: 9789349887435
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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
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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
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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
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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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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
US$ 99.53
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Add to basketPaperback. Condition: Brand New. 152 pages. 8.66x5.91x0.35 inches. In Stock.
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Tensor Networks for Dimensionality Reduction and Large-scale Optimization: Part 1 Low-Rank Tensor Decompositions (Foundations and Trends (R) in . (Foundations and Trendsr in Machine Learning)
Language: English
Published by Now Publishers Inc 2016-12-19, 2016
ISBN 10: 1680832220 ISBN 13: 9781680832228
US$ 112.44
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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
US$ 131.26
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Multi-Label Dimensionality Reduction (Chapman & Hall/crc Machine Learning & Pattern Recognition Series)
Book 12 of 15: Chapman & Hall/Crc Machine Learning & Pattern RecognitionLanguage: English
Published by Chapman and Hall/Crc, Boca Raton, Florida, 2014
ISBN 10: 1439806152 ISBN 13: 9781439806159
Seller: Literary Cat Books, Machynlleth, Powys, WALES, United Kingdom
Association Member: IOBA
Seller rating 3 out of 5 stars
First Edition
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Add to basketOriginal decorated boards. Condition: Near Fine. First Edition. Slight bumping to bottom spine, otherwise slight shelfwear only. ; Large 8vo 9" - 10" tall; xiv, 194 pages.
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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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Add to basketPaperback. Condition: Brand New. 196 pages. 9.21x6.14x0.42 inches. In Stock.
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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
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US$ 195.38
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Add to basketPaperback. Condition: Brand New. 250 pages. 9.25x7.50x9.22 inches. In Stock.
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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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Add to basketPaperback. Condition: Brand New. 250 pages. 9.25x7.50x9.22 inches. In Stock.
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Add to basketpaperback. 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.
