Fundamentals of Machine Learning for Healthcare
Completed by Christine Renee Riley
May 7, 2026
14 hours (approximately)
Christine Renee Riley'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: Health Informatics
- Category: Supervised Learning
- Category: Model Evaluation
- Category: Healthcare Industry Knowledge
- Category: Model Training
- Category: Deep Learning
- Category: Artificial Neural Networks
- Category: Machine Learning Algorithms
- Category: Data Ethics
- Category: Applied Machine Learning
- Category: Artificial Intelligence and Machine Learning (AI/ML)
