Practical Data Science with Python 3: Synthesizing Actionable Insights from Data

© Ervin Varga 2019

E. Varga Practical Data Science with Python 3https://doi.org/10.1007/978-1-4842-4859-1_11

11. Complexity and Heuristics

Ervin Varga¹ 

(1)

Kikinda, Serbia

 

As a data scientist, you must solve essential problems in an economical fashion, taking into account all constraints and functional requirements. The biggest mistake is to get emotionally attached to some particular technique and try to find “suitable” problems to which to apply it; this is pseudo-science, at best. A similar issue arises when you attempt to apply some convoluted approach where a simpler and more elegant method exists. I’ve seen these two recurring themes myriad times. For example, logistic regression (an intuitive technique) often can outperform kernelized support ...