Given the following methodology to train a model, explain what is wrong in the proposed methodology. What is your proposed methodology to fix the issue? We would like to develop a model to predict deformity in the hip area using the hip X-Ray. We have 640 frontal view X-ray images of 100 unique patients. The images are labeled by 3 orthopedic doctors whether they have hip deformation (as positive label) or not (as negative label). We randomly split the entire image dataset into 80% training (training and validation) and 20% testing.

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Intelligent Machines

Machines that use artificial intelligence to learn from the environment and past experiences to perform better in the presence of variability and uncertainty are called intelligent machines. Intelligence develops according to environment and experience. It is human-like behavior. When the computer system or any programmed machine learns from the inputs and corresponding outputs, it can be called an intelligent machine.