Scenario: The Unlimited Class Wrestling Federation (UCWF), founded by promoter Edward Garner, is leveraging technology to enhance its operations. At present, the IT team is utilizing Azure Machine Learning Service to automate hyperparameter tuning for a neural network classification model. Edward has provided specific hyperparameter constraints that must be defined for automatic tuning using random sampling: The learning rate must be selected from a normal distribution with: Mean = 10 Standard deviation = 3 The batch size must be one of the following values: 16, 32, or 64 The keep probability must be chosen from a uniform distribution in the range: 0.05 to 0.1 A developer on the team is using the param_sampling method from the Azure ML Python API, but is uncertain about how to complete the code segment, specifically what to substitute for [?] in learning_rate. python from azureml . train . hyperdrive import RandomParameterSampling param_sampling = RandomParameterSampling ({ "learning_rate" : [?], "batch_size" : choice ( 16 , 32 , 64 ), "keep_probability" : uniform ( 0.05 , 0.1 ) }) Question: Which value should replace [?] in the learning_rate parameter to correctly sample from a normal distribution with the specified mean and standard deviation?