- Health Care
- Healthcare Ethics
- Artificial Intelligence and Machine Learning (AI/ML)
- Supervised Learning
- Machine Learning Algorithms
- Reinforcement Learning
- Data Processing
- Health Informatics
- Data Ethics
- Healthcare Industry Knowledge
- Health Policy
- Artificial Neural Networks
Fundamentals of Machine Learning for Healthcare
Completed by Predrag Jancic
April 25, 2024
14 hours (approximately)
Predrag Jancic'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
