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Maschinelles Lernen Für Die Ingenieurwissenschaften: Einführung in Physikalisch Informierte, Erklärbare Lernverfahren Für KI in Technischen Anwendunge
Paperback
Technology & EngineeringGeneral Computers
ISBN13: 9783662682159
Publisher: Springer Vieweg
Published: Jun 5 2024
Pages: 260
Weight: 0.87
Height: 0.59 Width: 6.14 Depth: 9.21
Language: German
Maschinelles Lernen und künstliche Intelligenz sind omnipräsente Begriffe zur Verbesserung von technischen Prozessen. Die praktische Umsetzung an realen Problemen gestaltet sich aber oft schwierig und komplex.
Dieses Lehrbuch erklärt Lernverfahren anhand von analytischen Konzepten im Zusammenspiel mit vollständigen Programmierbeispielen in Python und bezieht sich auf dabei stets auf reale technische Anwendungsszenarien. Es zeigt den Einsatz physikalisch-informierter Lernstrategien, die Einbeziehung von Unsicherheit in die Modellierung und den Aufbau von erklärbarer, vertrauenswürdiger künstlicher Intelligenz mit Hilfe spezialisierter Datenbanken.
Dieses Lehrbuch richtet sich somit sowohl an Studierende der Ingenieurswissenschaften, Naturwissenschaft, Medizin und Betriebswirtschaft als auch an Anwender aus der Industrie (vor allem Data Scientists), Entwickler*innen von Expertendatenbanken und Softwareentwickler*innen.
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