Pros and Cons of Gradient Boosting Algorithms

Requirements Clarification & Assessment

1. Understanding the Question:

   • The question asks for a discussion on the strengths and weaknesses of Gradient Boosting Algorithms (GBAs), a popular ensemble learning technique.

2. Key Aspects to Address:

   • Strengths: What are the benefits of using GBAs?
   • Weaknesses: What are the limitations or challenges associated with GBAs?

3. Contextual Considerations:

   • Consider the audience's familiarity with machine learning concepts.
   • Ensure clarity in explaining technical terms related to GBAs.

4. Objective:

   • Provide a comprehensive understanding of why and when to use GBAs, considering both pros and cons.