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Data science from scratch : first principles with Python /

Detalles Bibliográficos
Autor principal: Grus, Joel (Ingeniero de software) (autor)
Formato: Libro
Lenguaje:English
Publicado: Sebastopol, CA : O'Reilly, 2019.
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.