Essential math for data science : take control of your data with fundamental linear algebra, probability, and statistics

Essential math for data science take control of your data with fundamental linear algebra, probability, and statistics

To succeed in data science you need some math proficiency. But not just any math. This common-sense guide provides a clear, plain English survey of the math you'll need in data science, including probability, statistics, hypothesis testing, linear algebra, machine learning, and calculus. Practi...

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Detalles Bibliográficos
Formato: Libro
Idioma:Inglés
Publicado: Beijing ; Boston : O'Reilly understanding 2022
Edición:First edition: June 2022
Materias:
Matemáticas > Probabilidades y estadística
Aprendizaje automático > Matemáticas.
Estadística matemática.
Proceso de datos > Matemáticas.
Probabilidades.
Programación de ordenadores > Matemáticas.
Ver en Universidad de Navarra:https://unika.unav.edu/discovery/fulldisplay?docid=alma991011435316308016&context=L&vid=34UNAV_INST:VU1&search_scope=34UNAV_TODO&tab=34UNAV_TODO&lang=es
Tabla de Contenidos:
  • Basic math and calculus review
  • Probability
  • Descriptive and inferential statistics
  • Linear algebra
  • Linear regression
  • Logistic regression and classification
  • Neural networks
  • Career advice and the path forward.

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