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Tales of Science and Data No ratings yet.

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This is an ebook written as a series of Jupyter notebooks, “intended as a collection of personally elaborated materials on Data Science. Topics span a quite large spectrum in the Data Science field: nothing will ever be fully comprehensive, but the purpose is keeping this continuously updated. Learning never ends!”

Content includes:

  • Probability & Statistics
  • Machine Learning:
    • Supervised Learning
    • Unsupervised Learning
    • Artificial Neural Networks
    • Model Assessment
  • Natural Language Processing
  • Computer Vision
  • Some Mathematical Results
  • Algorithms
  • On Python, and data
  • Tools, frameworks, workflow
  • History

Recommended Prerequisites: none

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