Fundamentals of Machine Learning for Healthcare
Completed by Shannon Anicka Donley
April 1, 2026
14 hours (approximately)
Shannon Anicka Donley'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: Supervised Learning
- Category: Health Informatics
- Category: Healthcare Industry Knowledge
- Category: Statistical Machine Learning
- Category: Machine Learning Methods
- Category: Artificial Intelligence and Machine Learning (AI/ML)
- Category: Artificial Neural Networks
- Category: Model Training
- Category: Deep Learning
- Category: Applied Machine Learning
- Category: Healthcare Ethics
- Category: Responsible AI
