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Google Cloud Certified Professional Machine Learning Engineer · Google Cloud
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clearly B
B) Option B (Use the representation transformation technique) is the most relevant choice. Normalizing the features will help gradient descent converge efficiently, leading to better weight updates and improved model performance. Remember that feature scaling is crucial for gradient optimization, especially when dealing with features that have different ranges. By ensuring consistent scales, you’ll enhance the effectiveness of your Neural Network training process.
Because the range needs to normalize