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...
Otros Autores: | , , |
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Formato: | Libro |
Idioma: | Inglés |
Publicado: |
Beijing :
O'Reilly
2020
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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