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Deep Hybrid Learning — a fusion of conventional ML with state of the art DL

A fusion approach to combine Machine Learning with Deep Learning

Aditya Bhattacharya
Towards Data Science
6 min readJul 26, 2020

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Image source: Pixabay

Considering state-of-the-art methods for unstructured data analysis, Deep Learning has been known to play an extremely vital role in coming up sophisticated algorithms and model architectures, to auto-unwrap features from the unstructured data and in providing a more realistic solution to real world problems. Before we even begin the discussion, if you want to take a glance at session recording related to Deep Hybrid Learning which I had presented at GIDS AI/ML 2020 conference please take a look:

Now, one of the main reasons why Deep Learning gained popularity is because its removes the need of doing manual feature engineering on the unstructured data, which is…

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