ML in the Real World: Use Cases and Limitations
Learners will survey production ML applications in healthcare, finance, and e-commerce while recognizing common failure modes and ethical considerations.
ML Is Already Everywhere
ML isn't the future — it's already running everywhere. Netflix picks, bank fraud alerts, face unlock: each is a model making a decision in milliseconds.
Healthcare: Diagnosis and Drug Discovery
In healthcare, ML reads X-rays and scans to catch disease early, and speeds drug discovery — though strict regulation and liability raise the bar high.
All lessons in this course
- Traditional Programming vs Machine Learning
- Supervised, Unsupervised, and Reinforcement Learning
- The ML Workflow: Data to Prediction
- ML in the Real World: Use Cases and Limitations