Hari Nair Hospitals are constantly trying to improve the quality of care they deliver. Machine learning (ML) is creating disruptive changes in the healthcare industry. ML was first applied to tailoring antibiotic dosages for patients in the 1970s.. Python developers can build solutions that benefit human health and well-being. Python and its frameworks work on principles agreed upon the HIPAA checklist. Some of the practical areas for ML are: Medical image processing and anomaly detection Managing Hospitals and Patient Care Diagnostics Disease Prognosis Prediction Natural Language Processing (NLP) for Administrative Tasks Patient Risk Identification Computer vision methods have long been employed to automatically analyze biomedical images. The recent advent of deep learning has replaced many other machine learning methods, since it avoids the creation of hand-engineering features; removing a critical source of error from the pro...