Deep Hybrid Learning — a fusion of conventional ML with state of the art DL
A fusion approach to combine Machine Learning with Deep Learning
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…