I was recently invited to give a talk introducing Guerrilla Analytics and the principles described in the book. The talk covers some examples of how these principles are applied. It concludes by identifying some key research and development areas for doing this type of analytics in real-world projects.
This was a great opportunity to engage with a cross-disciplinary audience including computer scientists, computational biologists and engineers and to have a sounding board for some of the key research and development areas I think need to be addressed to enable practical data science work.
A key take-away for me was the gap between the advanced data science being studied in academia and the lack of simple, practical methodologies that hold back the implementation of this research.