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Meta-learning Approach To Validate Machine Learning Models With Unlabeled Data

Overview

With the explosion of data generation (based on a potent combination of internet accessibility and the proliferation of mobile devices) and accessible computing power, the use of machine learning models to solve issues has also seen progress at a comparable pace. While the usage of models has existed for decades, what has been novel and exciting is the deployment of models that use so-called human-in-the-loop machine learning. A classic example of this is an image recognition model such as Alex Net.

In this eBook, we take a dive deep into

  1. Literature Review &Approach Summary
  2. Sampling & Meta-Features
  3. Generalization and Code Snippet