PyData Pune : Webinar 9 - In Search of Best Practices for NLP Projects

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PyData Pune: Webinar 9 - In Search of Best Practices for NLP Projects

In this talk, we are going to explore the best practices for building NLP and ML projects from the ground-up and up to production. What does it mean to build a prototype? Do I really need CI/CD for my NLP projects? What does my team need to know to work on NLP Projects? Anything we can learn and use from ML and DataOps best practices? How to stay on top of recent NLP developments? These and many more questions we will explore and discuss together.

About Ivan:

Ivan is working as a Lead Data Scientist and manages Data Science and Data Engineering teams at TrustYou. His academic background is diverse – originally studied General Linguistics and Language Teaching in his home country, Ukraine, then Computational Linguistics at LMU Munich in Germany, as well as Technology Management at CDTM Munich. He has been applying his technical and management skills on a diverse number of industrial NLP projects for a number of years now. His main topics of interest from the NLP side are Aspect Based Sentiment Analysis of various types of user and product reviews in a multilingual setting, as well as best practices for ETL and Streaming ETL from the Data Engineering side.

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