The biomedical industry uses machinery to capture images and other data, and also software that provides the specialist with information to make decisions. These software applications often use vast data sets such as the mammogram data set you used in the previous activity. Consider the medical data and the context in which it is used. Why is machine learning, and specifically neural networks, an appropriate method for prediction in these circumstances?
The biomedical industry uses machinery to capture images and other data, and also software that provides the specialist with information to make decisions. These software applications often use vast data sets such as the mammogram data set you used in the previous activity. Consider the medical data and the context in which it is used. Why is machine learning, and specifically neural networks, an appropriate method for prediction in these circumstances?
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The biomedical industry uses machinery to capture images and other data, and also software that provides the specialist with information to make decisions. These software applications often use vast data sets such as the mammogram data set you used in the previous activity.
Consider the medical data and the context in which it is used. Why is machine learning, and specifically neural networks, an appropriate method for prediction in these circumstances?
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