Fundamentals of Machine Learning for Healthcare
Completed by Anthony E. Flores Kuffó
February 18, 2026
14 hours (approximately)
Anthony E. Flores Kuffó'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: Supervised Learning
- Category: Health Informatics
- Category: Model Evaluation
- Category: Deep Learning
- Category: Reinforcement Learning
- Category: Data Ethics
- Category: Health Policy
- Category: Machine Learning Algorithms
- Category: Model Training
- Category: Applied Machine Learning
- Category: Artificial Intelligence and Machine Learning (AI/ML)
- Category: Generative Model Architectures
