Fundamentals of Machine Learning for Healthcare
Completed by James Grapentine
February 17, 2026
14 hours (approximately)
James Grapentine'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: Artificial Neural Networks
- Category: Model Training
- Category: Deep Learning
- Category: Healthcare Industry Knowledge
- Category: Applied Machine Learning
- Category: Data Ethics
- Category: Responsible AI
- Category: Machine Learning Algorithms
- Category: Health Informatics
- Category: Model Evaluation
- Category: Supervised Learning
- Category: Machine Learning
