Defining a machine learning problem
Defining a machine learning problem involves identifying a specific business challenge or analytical objective that can be addressed using machine learning techniques. The process of defining a problem can be divided into a few key steps:
- Understand the business objective: Start by gaining a clear understanding of the overall business objective or problem that needs to be solved. This could be improving customer retention, optimizing pricing strategies, predicting equipment failures, or identifying potential fraud cases, among others.
- Identify the key problem or challenge: Once the business objective is defined, identify the specific problem or challenge that needs to be addressed using machine learning. This involves understanding the key pain points, limitations, or gaps in the current process or system that can be improved through machine learning.
- Define the scope and boundaries: Clearly define the scope and boundaries of the...
