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Fundamentals of Machine Learning

Support Vector Machines Made Easy

Erschienen am 13.07.2020, Auflage: 1/2020
25,90 €
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Bibliografische Daten
ISBN/EAN: 9783825252519
Sprache: Englisch
Umfang: 155 S., 79 farbige Illustr.
Format (T/L/B): 1.1 x 26.5 x 19.7 cm
Einband: kartoniertes Buch

Beschreibung

Artificial intelligence will change our lives forever - both at work and in our private lives. But how exactly does machine learning work? Two professors from Lübeck explore this question. In their English textbook they teach the necessary basics for the use of Support Vector Machines, for example, by explaining linear programming, the Lagrange multiplier, kernels and the SMO algorithm. They also deal with neural networks, evolutionary algorithms and Bayesian networks. Definitions are highlighted in the book and tasks invite readers to actively participate. The textbook is aimed at students of computer science, engineering and natural sciences, especially in the fields of robotics, artificial intelligence and mathematics.

Autorenportrait

Prof. Dr. Floris Ernst lehrt KI (Künstliche Intelligenz) und Robotik an der Universität Lübeck.

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