Anđela Todorović

Information & Communications Technology

Machine Learning and AI Software Engineering

Niš, Central Serbia, Serbia

Advanced Deep Learning techniques in Semantic Analysis on large scale datasets

This speech reviews some of the latest approaches in the usage of advanced machine learning techniques on the large scale datasets, mainly for semantic analysis. The existing deep learning techniques are broadly classified for big data, and the architecture of models is principally based on deep belief networks and convolution neural networks. However, deep learning techniques have various limitations in processing big data with current techniques. One of the major reasons is processing the big and large amount of data in vector space. However, several sophisticated and optimized algorithms exist and are uttered to process data with high speed and classify feature learning with high accuracy, and they are to be presented.

Passionate about inspiring others to create and achieve more in the field of intelligent computing. 🍀
Associate Software Engineer at Cubic Corporation.
2 x Bachelor student of Computer Science / Mathematics.
2 x Founder of an award-winning software solution .

Anđela's full speaker profile