The session Deep Learning For Tabular Data was presented at the DLDC 2020, also known as the Deep Learning DevCon 2020 by Luca Massaron, who is Senior Data Scientist and Kaggle Master.
The session “Deep Learning For Tabular Data” was presented at the DLDC 2020, also known as the Deep Learning DevCon 2020 by Luca Massaron, who is Senior Data Scientist and Kaggle Master.
Deep Learning DevCon 2020 is the conference of the year that is hosted by the Association of Data Scientists in partnership with Analytics India Magazine. Scheduled for 29th and 30th October, the DLDC conference brought together the leading experts as well as the best minds of deep learning and machine learning industry from around the globe.
In this session, Massaron started discussing a brief on what deep learning and deep neural networks are and why it is relevant. During his talk, Massaron shed light on the topic of deep learning for tabular data. He then discussed three challenges, which are data preparation, high cardinality and architecture.
Mentioning some of the popular advantages of deep neural networks, such as voice search and voice-activated assistants, self-driving cars, sophisticated recommender systems, image generation & manipulation, etc., he stated that lack of data could prove to be an issue while building robust models.
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The agenda of the talk included an introduction to 3D data, its applications and case studies, 3D data alignment and more.
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