Fundamentals of Machine Learning for Healthcare
Completed by Amanda Meshell Huff
July 5, 2026
14 hours (approximately)
Amanda Meshell Huff'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: Statistical Machine Learning
- Category: Applied Machine Learning
- Category: Deep Learning
- Category: Healthcare Ethics
- Category: Machine Learning
- Category: Machine Learning Algorithms
- Category: Machine Learning Methods
- Category: Medical Science and Research
- Category: Generative Model Architectures
- Category: Healthcare Industry Knowledge
- Category: Responsible AI
- Category: Data Ethics
