A concise introduction to machine learning / A.C. Faul

By:

Faul, Anita [VerfasserIn]

Resource type: Ressourcentyp: Buch (Online)Book (Online)Language: English Series: Chapman & Hall/CRC machine learning & pattern recognitionPublisher: Boca Raton ; London ; New York : CRC Press, [2020]Copyright date: © 2020Description: 1 Online-RessourceISBN:

9781351204743
9781351204750
9781351204729
9781351204736

Subject(s):

Additional physical formats: 9780815384205. | 9780815384106. | Erscheint auch als: A concise introduction to machine learning. Druck-Ausgabe Boca Raton : CRC Press, 2020. xix, 314 SeitenLOC classification:

Q325.5

Online resources:

Zugang im Netz des KIT

Summary: "Machine Learning is known by many different names, and is used in many areas of science. It is also used for a variety of applications, including spam filtering, optical character recognition, search engines, computer vision, NLP, advertising, fraud detection, robotics, data prediction, astronomy. Considering this, it can often be difficult to find a solution to a problem in the literature, simply because different words and phrases are used for the same concept. This class-tested textbook aims to alleviate this, using mathematics as the common language. It covers a variety of machine learning concepts from basic principles, and llustrates every concept using examples in MATLAB"--Summary: Introduction -- Probability theory -- Sampling -- Linear classification -- Non-linear classification -- Dimensionality reduction -- Regression -- Feature learning.PPN: PPN: 1685637019Package identifier: Produktsigel: BSZ-4-NLEBK-KAUB | ZDB-4-NLEBK

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