Problem Framing: The Most Difficult Stage of a Machine Learning Project Workflow

Author(s): Benjamin Obi Tayo Ph.D.

Originally published on Towards AI.

Framing the right problem to tackle with data in a real-world project is not very straightforward

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Photo by You X Ventures on Unsplash

In this article, I will discuss why problem framing is the most important stage of a machine learning project workflow. Some people would argue that data wrangling (which by definition is the process of converting data from its raw form to a clean and tidy form ready for analysis) is the most important phase of a machine learning project. While data wrangling (which falls under data analysis in the machine learning workflow) could be considered the most time-consuming and tedious process, it is certainly not the most important phase in machine learning working.

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Published via Towards AI