Fundamentals of Machine Learning for Healthcare
Completed by Quynh X Pham
May 17, 2025
14 hours (approximately)
Quynh X Pham'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: Health Informatics
- Category: Healthcare Ethics
- Category: Model Training
- Category: Reinforcement Learning
- Category: Data Ethics
- Category: Model Evaluation
- Category: Generative Model Architectures
- Category: Machine Learning
- Category: Health Policy
- Category: Machine Learning Methods
- Category: Healthcare Industry Knowledge
- Category: Deep Learning
