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 popular guide adds comprehensive examples in Python, provides practic...
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| Otros Autores: | , |
| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
Beijing :
O'Reilly
2020.
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| Edición: | 2nd ed |
| Materias: | |
| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009631289206719 |
Tabla de Contenidos:
- 1. Exploratory Data Analysis
- 2. Data and Sampling Distributions
- 3. Statistical Experiments and Significance Testing
- 4. Regression and Prediction
- 5. Classification
- 6. Statistical Machine Learning
- 7. Unsupervised Learning
- Bibliography
- Index.
