Fundamentals of Machine Learning for Healthcare
Completed by Ryan Pienkos
December 11, 2025
14 hours (approximately)
Ryan Pienkos'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: Medical Science and Research
- Category: Statistical Machine Learning
- Category: Healthcare Industry Knowledge
- Category: Responsible AI
- Category: Generative Model Architectures
- Category: Reinforcement Learning
- Category: Applied Machine Learning
- Category: Artificial Intelligence and Machine Learning (AI/ML)
- Category: Health Policy
- Category: Deep Learning
- Category: Model Training
- Category: Artificial Neural Networks
