データサイエンスにおける次数削減
Dimensionality Reduction in Data Science
Garzon, Max (EDT)
Yang, Ching-Chi (EDT)
Venugopal, Deepak (EDT)
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New in softcover. Hardcover was published in 2022. This book provides a practical and fairly comprehensive review of Data Science through the lens of dimensionality reduction, as well as hands-on techniques to tackle problems with data collected in the real world. State-of-the-art results and solutions from statistics, computer science and mathematics are explained from the point of view of a practitioner in any domain science, such as biology, cyber security, chemistry, sports science and many others.