Lessons building product features using Machine Learning
There is currently a massive hype surrounding machine learning. We want to share some lessons from apply machine learning to evolve our product. The goal is to cover the full process from defining problems, via procuring high quality training data and picking the right tools, to evaluation and deployment. All examples will be grounded in the realities of working with these tasks, and the challenges we’ve faced over the last couple of years.
Daniel Langkilde, Recorded Future
Daniel Langkilde works as Software Engineer at Recorded Future. His work is focused on machine learning in the natural language processing domain. He has studied Engineering Physics and Engineering Mathematics at Chalmers. During 2014-2015 he was a Visiting Scholar at the UC Berkeley AMPlab.