How do data science projects work?

A primer for managers, stakeholders and those that are interested

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No, not that kind of science. But sort of.

Scaling deep learning

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Deep learning with little data is rarely better than random. But after finding a suitable architecture, throwing more data at it makes it improve, to a point.

Managing data science projects

1. Defining the problem

2. Finding a model

3. Training the model

4. Application of the model to real data

5. Production

6. Maintenance

Cycle complete

VP Engineering @brandwatch. Writing things that interest me. Hopefully they'll interest you as well.

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