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A01=Sven A. Wegner
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Author_Sven A. Wegner
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Category1=Non-Fiction
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Mathematical Introduction to Data Science

English

By (author): Sven A. Wegner

This textbook is intended for students of mathematics who have completed the foundational courses of their undergraduate studies and now want to specialize in Data Science and Machine Learning. It introduces the reader to the most important topics in the latter areas focusing on rigorous proofs and a systematic understanding of the underlying ideas.

The textbook comes with 121 classroom-tested exercises. Topics covered include k-nearest neighbors, linear and logistic regression, clustering, best-fit subspaces, principal component analysis, dimensionality reduction, collaborative filtering, perceptron, support vector machines, the kernel method, gradient descent and neural networks.

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Current price €83.59
Original price €87.99
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A01=Sven A. WegnerAge Group_UncategorizedAuthor_Sven A. Wegnerautomatic-updateCategory1=Non-FictionCategory=UNCategory=UYAMCOP=GermanyDelivery_Pre-orderLanguage_EnglishPA=Not yet availablePrice_€50 to €100PS=Forthcomingsoftlaunch

Will deliver when available. Publication date 07 Oct 2024

Product Details
  • Dimensions: 155 x 235mm
  • Publication Date: 07 Oct 2024
  • Publisher: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
  • Publication City/Country: Germany
  • Language: English
  • ISBN13: 9783662694251

About Sven A. Wegner

Sven A. Wegner earned his PhD in Functional Analysis in 2010. After several international academic positions he is currently affiliated with the University of Hamburg (Germany).

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