Zum Hauptinhalt springen Zur Suche springen Zur Hauptnavigation springen
Beschreibung
Written in accessible language without mathematical formulas, the book covers important machine learning algorithms and their respective applications in physics and across a number of important sub-fields in more detail, ranging from particle, molecular and condensed matter physics, to astrophysics, cosmology and the theory of everything.
Written in accessible language without mathematical formulas, the book covers important machine learning algorithms and their respective applications in physics and across a number of important sub-fields in more detail, ranging from particle, molecular and condensed matter physics, to astrophysics, cosmology and the theory of everything.
Über den Autor

Volker Knecht, Germany, Editor at International Journal of Molecular Sciences, Science Writer as Freelancer. Diploma in Physics at University of Kaiserslautern, PhD in Theoretical Physics at University of Göttingen, PhD project at MPI Göttingen, postdoc at University of Groningen, group leader and PI at MPI Potsdam and University of Freiburg. Research at the interface between physics, chemistry, biology, and computer science for 17 years.

Inhaltsverzeichnis

Part I: Opening 1. Gathering the Team 2. Teamplay 3. The Rules of the Game Part II: Machine-Learning the World from Subatomic to Cosmic Scales 4. AI for Particle Physics 5. AI for Molecular Physics 6. AI for Condensed Matter Physics 7. AI for Cosmology Part III: Showdown 8. AI for Theory of Everything 9. Conclusion and Outlook

Details
Erscheinungsjahr: 2022
Fachbereich: Astronomie
Genre: Importe, Physik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
ISBN-13: 9781032151694
ISBN-10: 1032151692
Sprache: Englisch
Einband: Kartoniert / Broschiert
Autor: Knecht, Volker
Hersteller: CRC Press
Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, D-36244 Bad Hersfeld, gpsr@libri.de
Maße: 198 x 129 x 9 mm
Von/Mit: Volker Knecht
Erscheinungsdatum: 29.08.2022
Gewicht: 0,168 kg
Artikel-ID: 121954674

Ähnliche Produkte