Part of the Data Science festival event hosted at Google

What should be the result of a Data Scientist’s work? Paper or 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, Marcin answers all these questions from the engineer’s point of view, using a real-world NLP and TensorFlow project from Ocado Technology.

Speaker: Marcin Druzkowski

Data Science from an Engineers perspective - Data Science Festival - YouTube

Videos

• Marios Michailidis explains some of the considerations for running StackNet and shows how they have used it to win Kaggle competitions and generate value for dunnhumby.
• We want to go beyond the buzzword and share concrete examples of where deep learning has been successfully used.
• Panel discussion on how to successfully build a Data Science career.