Fundamentals of Machine Learning for Healthcare
Completed by Ellen Kim
May 12, 2026
14 hours (approximately)
Ellen Kim's account is verified. Coursera certifies their successful completion of Fundamentals of Machine Learning for Healthcare
What you will learn
Define important relationships between the fields of machine learning, biostatistics, and traditional computer programming.
Learn about advanced neural network architectures for tasks ranging from text classification to object detection and segmentation.
Learn important approaches for leveraging data to train, validate, and test machine learning models.
Understand how dynamic medical practice and discontinuous timelines impact clinical machine learning application development and deployment.
Skills you will gain
- Category: Health Informatics
- Category: Model Evaluation
- Category: Health Policy
- Category: Data Ethics
- Category: Supervised Learning
- Category: Reinforcement Learning
- Category: Artificial Neural Networks
- Category: Artificial Intelligence and Machine Learning (AI/ML)
- Category: Machine Learning Methods
- Category: Statistical Machine Learning
- Category: Generative Model Architectures
- Category: Machine Learning
