Fundamentals of Machine Learning for Healthcare
Completed by Agnes Catherine Shea
March 20, 2026
14 hours (approximately)
Agnes Catherine Shea'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: Applied Machine Learning
- Category: Data Ethics
- Category: Supervised Learning
- Category: Model Evaluation
- Category: Healthcare Industry Knowledge
- Category: Deep Learning
- Category: Artificial Neural Networks
- Category: Responsible AI
- Category: Machine Learning Algorithms
- Category: Statistical Machine Learning
- Category: Health Policy
- Category: Machine Learning
