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cost function has narrow, steep valleys, gradient descent might oscillate or converge slowly. Techniques like feature scaling, regularization, and advanced optimization algorithms (e.g., Adam or RMSprop) can mitigate these challenges. Section 4- Vectorized Implementation: Efficiency is paramount in