Miroslav Batchkarov


Talk Abstract: Gold standard data: lessons from the trenches

The first stage in a data science project is often to collect training data. However, getting a good data set is surprisingly tricky and takes longer than one expects. This talk describes our experiences in labelling gold-standard data and the lessons we learnt the hard way. We will present three case studies from natural language processing and discuss the challenges we encountered.

Bio: I am the CTO and cofounder at Teebly, a communication platform for high-trust business. I have previously worked as a data scientist and software engineer at several early-stage companies and have taught natural language processing at the University of Sussex

Tuesday April 9th , 2019
6:00 pm-
9:00 pm
DSF Day 2 - Data Science to Production hosted by Zoopla Join us at Zoopla for Day 2 of the Data Science Festival, where we will have an evening focused around taking data science projects to production.  Our speakers, Jan and Miroslav, will dig into the real world challenges of…