Data science from scratch : first principles with Python /
Joel Grus
- Segunda edición
- Sebastopol : O'Reilly Media, 2019
- xvii, 384 páginas : figuras ; 24 x 17 cm
Datos sobre el libro y el autor en la contraportada
Incluye bibliografía
Preface to the Second Edition | Preface to the First Edition Introduction | A crash course in Python | Visualizing data | Linear algebra | Statistics | Probability | Hypothesis and inference | Gradient descent | Getting data | Working with data | Machine learning | k-Nearest neighbors | Naive bayes | Simple linear regression | Multiple regression | Logistic regression | Decision trees | Neural networks | Deep learning | Clustering | Natural language processing | Network analysis | Recommender systems | Databases and SQL | MapReduce | Data ethics | Go forth and do data science | Index
9781492041139 1492041130
Administración de bases de datos Diseño de bases de datos Python (lenguaje de programación de computadores) Procesamiento de datos--Matemáticas