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Summary

A review and summary of week 2, data and features

Here is a quick recap of the material covered this week, which has focused on data and features.

This week we have looked at:

  • types of data and features
  • feature extraction
  • labelling image data
  • handling missing data and pre-processing data.

Next week we will take a deeper dive into the core machine learning techniques of clustering, classification and regression.

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Machine Learning for Image Data

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