Multi-class classification based on textual data refers to a supervised machine learning task, where we try to predict a certain class for input data, given the input data in raw textual format. …


How attention-based mechanism completely transformed the working of neural machine translations while exploring contextual relations in sequences!

When it comes to applying deep learning principles to natural language processing, contextual information weighs in a lot! In the past few years, it has been shown that various improvement in existing neural…


To the user, chatbots seem to be “intelligent” due to their informative skills. However, chatbots are only as intelligent as the underlying database.

With Advancement in Natural language Processing and various open-source frameworks available, various industries and organizations are trying to implement automated text reply as a response, or, if…


Random Forests, the infamous Machine Learning Algorithm, has emerged with a sudden popularity at glance, but, the reason it has become so intriguing to developers these days, is a mystery in itself!

With an increase in new and unique Datasets Availability to developers these days( thanks to Kaggle), machine learning developers are looking for new and modern solutions to get answers for their model developments. …

Harsh Sharma

Deep Learning Developer | Associate Technical Director At Data Science Community SRM|Aspiring Data Scientist |Deep Learning Researcher

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