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Beschreibung
This accessible book for graduate students and data scientists provides a solid background in probabilistic and statistical concepts relevant to data science. Emphasis is placed on practice, with examples throughout using real-world data that readers can implement from Python code available on the book's website.
This accessible book for graduate students and data scientists provides a solid background in probabilistic and statistical concepts relevant to data science. Emphasis is placed on practice, with examples throughout using real-world data that readers can implement from Python code available on the book's website.
Über den Autor
Carlos Fernandez-Granda is Associate Professor of Mathematics and Data Science at New York University, where he has taught probability and statistics to data science students since 2015. The goal of his research is to design and analyze data science methodology, with a focus on machine learning, artificial intelligence, and their application to medicine, climate science, biology, and other scientific domains.
Inhaltsverzeichnis
Preface; Book Website; Introduction and Overview; 1. Probability; 2. Discrete variables; 3. Continuous variables; 4. Multiple discrete variables; 5. Multiple continuous variables; 6. Discrete and continuous variables; 7. Averaging; 8. Correlation; 9. Estimation of population parameters; 10. Hypothesis testing; 11. Principal component analysis and low-rank models; 12. Regression and classification; A. Datasets; References; Index.
Details
Erscheinungsjahr: 2025
Fachbereich: Wahrscheinlichkeitstheorie
Genre: Importe, Mathematik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
ISBN-13: 9781009180092
ISBN-10: 1009180096
Sprache: Englisch
Einband: Kartoniert / Broschiert
Autor: Fernandez-Granda, Carlos
Hersteller: Cambridge University Press
Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, D-36244 Bad Hersfeld, gpsr@libri.de
Maße: 254 x 178 x 34 mm
Von/Mit: Carlos Fernandez-Granda
Erscheinungsdatum: 27.05.2025
Gewicht: 1,156 kg
Artikel-ID: 133567926

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