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My personal collection of resources and information to learn the ways of the Data Science.
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README.md

Learning Data Science

My personal collection of resources and information to learn the ways of the Data Scientist.

Articles

Online courses

Machine and Deep Learning

  • fast.ai
  • Machine Learning
    Instructor: David Rosenberg (NYU & Bloomberg)
    This course covers a wide variety of topics in machine learning and statistical modeling. While mathematical methods and theoretical aspects will be covered, the primary goal is to provide students with the tools and principles needed to solve the data science problems found in practice. This course also serves as a foundation on which more specialized courses and further independent study can build.
  • Machine Learning Crash Course

Data Science

Statistics and Probability

  • Statistical and Mathematical Methods
    Instructor: Carlos Fernandez-Granda (NYU)
    This course introduces statistical and mathematical methods needed in the practice of data science. It covers basic principles in probability, statistics, linear algebra, and optimization.

Books

Deep Learning

Websites

Projects

Kaggle

Software Development

Unit Testing

Code review

Version Control

Contributors

  • Filippo Broggini (ETH Zurich)
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