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9780443328183 - Dimensionality Reduction in Machine Learning Advanced Topics in Biomaterials (12 results)
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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 Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Dimensionality Reduction In Machine Lear
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Ireland
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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
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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