Open Source Machine Learning Deployment - Clive Cox (Seldon)
Open source machine learning tools to manipulate and store data and apply complex algorithms to this data have matured greatly in recent years. However, the final step in any successful machine learning project is to put the models into production with exposed APIs as well as monitor, scale and continuously update them.
This final stage has generally been built in-house by large companies and can be a considerable risk to the success of projects within more resource constrained companies. This talk will review some of the challenges in deploying machine learning models and introduce some open source projects that attempt to solve these challenges.
Clive is the CTO at Seldon. He has a research background in Computational Linguistics and studied Speech & Language Processing at Cambridge University. Clive has spent the last few years developing Seldon’s algorithms and predictive platform and working on various machine learning projects in industry.