How do data science projects work?

A primer for managers, stakeholders and those that are interested

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

Scaling deep learning

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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