Fundamentals of Machine Learning for Healthcare
Completed by Lucas Stoffl
February 23, 2026
14 hours (approximately)
Lucas Stoffl'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: Applied Machine Learning
- Category: Model Training
- Category: Deep Learning
- Category: Medical Science and Research
- Category: Artificial Neural Networks
- Category: Responsible AI
- Category: Machine Learning Algorithms
- Category: Model Evaluation
- Category: Machine Learning Methods
- Category: Artificial Intelligence and Machine Learning (AI/ML)
- Category: Statistical Machine Learning
- Category: Health Informatics
