Fundamentals of Machine Learning for Healthcare
Completed by Richard J Hinners
April 21, 2026
14 hours (approximately)
Richard J Hinners'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: Responsible AI
- Category: Medical Science and Research
- Category: Machine Learning Algorithms
- Category: Statistical Machine Learning
- Category: Machine Learning Methods
- Category: Generative Model Architectures
- Category: Healthcare Ethics
- Category: Artificial Intelligence and Machine Learning (AI/ML)
- Category: Artificial Neural Networks
- Category: Applied Machine Learning
- Category: Deep Learning
- Category: Health Informatics
