Data Interview Question
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Requirements Clarification & Assessment
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Understanding the Core Concept:
- Ensure a clear understanding of gradient descent as an optimization algorithm.
- Recognize its role in minimizing a cost function by iteratively adjusting model parameters.
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Implementation Details:
- Outline the step-by-step process for implementing gradient descent.
- Clarify the importance of initialization, learning rate, and convergence criteria.
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Application Context:
- Identify the types of problems where gradient descent is applicable (e.g., linear regression, neural networks).
- Understand the mathematical foundation, particularly the concept of gradients and their role in optimization.