What should be the result of a Data Scientist’s work? Paper or some code? Can Data Scientists write production code at all? How should we share the fruits of our work with the rest of the company?
In this talk I will try to answer all these questions from the engineer’s point of view, using a real world NLP and TensorFlow project from Ocado Technology.
After the presentation you will know:
– what makes your research easy to reproduce
– how technologies like Kubernetes/Google Storage can help
– a few useful tips about TensorFlow.