What this book covers

Preparing and analyzing data in machine learning workflows:

  • Chapter 1, Gathering and Organizing Data, covers the gathering, organization, and parsing of data to/from a local and remote sources. Once the reader is done with this chapter, they will understand how to interact with data stored in various places and in various formats, how to parse and clean that data, and how to output that cleaned and parsed data.
  • Chapter 2, Matrices, Probability, and Statistics, covers the organization of data into matrices and matrix operations. Once the reader is done with this material, they will understand how to form matrices within Go programs and how to utilize these matrices to perform various types of matrix operations. This ...

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