Practical statistics for data scientists 50+ essential concepts using R and Python

Statistical methods are a key part of data science, yet few data scientists have formal statistical training. Courses and books on basic statistics rarely cover the topic from a data science perspective. The second edition of this practical guide-now including examples in Python as well as R-explain...

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Detalles Bibliográficos
Otros Autores: Bruce, Peter C., 1953- autor (autor), Bruce, Andrew, 1958- autor, Gedeck, Peter, autor
Formato: Libro
Idioma:Inglés
Publicado: Beijing : O'Reilly 2020
Edición:Segunda edicion: Mayo 2020
Materias:
Ver en Universidad de Navarra:https://unika.unav.edu/discovery/fulldisplay?docid=alma991011435316208016&context=L&vid=34UNAV_INST:VU1&search_scope=34UNAV_TODO&tab=34UNAV_TODO&lang=es
Tabla de Contenidos:
  • Exploratory Data Analysis
  • Data and Sampling Distributions
  • Statistical Experiments and Significance Testing
  • Regression and Prediction
  • Classification
  • Statistical Machine Learning
  • Unsupervised Learning