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Data science from scratch : first principles with Python /
Autor principal: | |
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Formato: | Libro |
Lenguaje: | English |
Publicado: |
Sebastopol, CA :
O'Reilly,
2019.
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Edición: | Second edition. |
Materias: |
Tabla de Contenidos:
- 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.