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.
We supply you with world class machine learning experts / ML Developers with years of domain experience who can add more value to your business.
What is neuron analysis of a machine? Learn machine learning by designing Robotics algorithm. Click here for best machine learning course models with AI
AI, Machine learning, as its title defines, is involved as a process to make the machine operate a task automatically to know more join CETPA
You got intrigued by the machine learning world and wanted to get started as soon as possible, read all the articles, watched all the videos, but still isn’t sure about where to start, welcome to the club.
Machine learning is quite an exciting field to study and rightly so. It is all around us in this modern world. From Facebook’s feed to Google Maps for navigation, machine learning finds its application in almost every aspect of our lives. It is quite frightening and interesting to think of how our lives would have been without the use of machine learning. That is why it becomes quite important to understand what is machine learning, its applications and importance.