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Sunday 19 August 2018
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Bootcamp: Learning representations of text for NLP

May 19 @ 9:00 am - May 20 @ 5:00 pm

Bootcamp: Learning representations of text for NLP

Bootcamp: Learning representations of text for NLP

Attend this two-day hands-on bootcamp and learn & implement an end-to-end deep learning models for natural language processing.

On day one, instructors will cover introduction to text representation, old ways of representing text, followed by a deep dive into embedding spaces and word vectors. On day two, focul will be more on advanced techniques of representing text such as Paragraph2vec/doc2vector techniques and various architectures for char2vec.


Anuj Gupta
Director – Machine Learning, Huawei Technologies

Anuj is a seasoned ML researcher; working in the area NLP, Machine Learning, Deep learning. Currently he is heading ML/DL efforts for Huawei India R&D. Prior to this he was heading ML efforts at Freshworks and Airwoot(Now acquired by Freshdesk). He dropped out of Phd in ML to work with startups. He graduated from IIIT H with specialization in theoretical comp science. He has authored a bunch of research publications and patents. He is a regular speaker at prestigious forums like PyData, Anthill, The Fifth Elephant, NVidia Dev conf, conferences in distributed algorithms. He is also co-organizer of special interest groups like DLBLR.

Satyam Saxena
Applied Scientist – Machine Learning, Amazon

Satyam is a ML scientist working in the area of Deep learning, NLP and Machine Learning. Currently, he is leading various efforts in the area of machine learning and analytics at Amazon. Prior to this he was a ML researcher at Freshdesk, before which he was also part of the core ML group at Cisco Security. He was also a visiting researcher at Vision Labs in IIIT Hyd where he used computer vision and deep learning to build applications to assisting visually impaired people. He presented some of this work at ICAT 2014, Turkey.


May 19 @ 9:00 am
May 20 @ 5:00 pm
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19th main, 5th cross, HAL 2nd Stage
Bangalore, 560008 India
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