Ensemble Modelling Explained Through Music

Ensemble Modelling Explained Through Music

Ensemble Modeling Explained Through Music Scheduled for 29th and 30th October, the DLDC 2020 conference has brought together the leading experts as well as the best minds of deep learning and machine learning industry from around the world.

The session “Musicians & Data scientists Create Hits with Ensembles” was presented at the Deep Learning DevCon (DLDC) 2020 by Loveesh Bhatt who is the Senior Manager, Analytics at Ugam and Arpita Sur, who is the AVP / Head Cognitive Computing System at Ugam.

The primary aspect of the talk is how data scientists can leverage stacked ensembles to improve the performance of predictive models. Scheduled for 29th and 30th October, the DLDC 2020 conference has brought together the leading experts as well as the best minds of deep learning and machine learning industry from around the world.

The session started by playing the popular song by Coldplay and Chainsmokers called “Something Just Like This” twice, one in acoustic version and the second was original. The idea behind playing two versions of the songs was that, from a machine learning perspective, the acoustic version represented a simple machine learning model based out of linear regression. On the other hand, the original one represented a fusion of GBM and random forest model, that has the capabilities to create a powerful machine learning model.

machine-learning

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