NTUOSS TGIFHacks #121 – Introduction to Natural Language Processing

Natural language processing is a rich domain in the field of deep learning concerning the interaction between computers and human language.  It is one of the most broadly applied areas of deep learning with applications such as question-answering, sentiment analysis, machine translation, and chatbots.
 
In this workshop, we cover fundamentals of NLP such as word embeddings, probabilistic and neural language models. We'll cover all the theory behind these topics and finally, build a simple language model to get some hands-on experience. Understanding these foundational concepts will help you to learn about more advanced topics such as sequence and attention models

About the Speaker:

Siddesh Sambasivam Suseela is a Year 3 EEE Undergraduate student specialising in data intelligence and processing, and currently serving as the chairperson of NTUOSS's TGIFHacks Events committee. He is deeply passionate about industrial research in deep learning and interested in application and deployment of large scale machine learning models. He has contributed to several open sources projects and loves to participate in various Kaggle competitions. He is currently working as a part-time Data Science intern at Shopee in the language services team.

Technical Prerequisites:

• Basic knowledge of Python

Dependencies:

• None

The link to the Microsoft Teams stream will be sent after 6pm on the day of the event.

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