Deep Learning for Natural Language Processing

Karthiek Reddy Bokka is a Speech and Audio Machine Learning Engineer graduated from University of Southern California and currently working for Biamp Systems in Portland. His interests include Deep Learning, Digital Signal and Audio Processing, Natural Language Processing, Computer Vision. He has experience in designing, building, deploying applications with Artificial Intelligence to solve real-world problems with varied forms of practical data, including Image, Speech, Music, unstructured raw data etc. Shubhangi Hora is a Python developer, Artificial Intelligence enthusiast, and writer. With a background in Computer Science and Psychology, she is particularly interested in mental health related AI. Shubhangi is based in Pune, India and is passionate about furthering natural language processing through machine learning and deep learning. Aside from this, she enjoys the performing arts and is a trained musician. Tanuj Jain is a data scientist working at a Germany-based company. He has a master’s degree in electrical engineering with a focus on statistical pattern recognition. He has been developing deep learning models and putting them in production for commercial use at his current job. Natural language processing is a special interest area for him and he has applied his know-how to classification and sentiment rating tasks. Monicah Wambugu is the lead Data Scientist at Loanbee, a financial technology company that offers micro-loans by leveraging on data, machine learning and analytics to perform alternative credit scoring. She is a graduate student at the School of Information at UC Berkeley Masters in Information Management and Systems. Monicah is particularly interested in how data science and machine learning can be used to design products and applications that respond to the behavioral and socio-economic needs of target audiences.