- Healthcare Ethics
- Data Ethics
- Machine Learning
- Machine Learning Algorithms
- Health Care
- Data Processing
- Health Policy
- Supervised Learning
- Artificial Neural Networks
- Applied Machine Learning
- Artificial Intelligence and Machine Learning (AI/ML)
- Deep Learning
Fundamentals of Machine Learning for Healthcare
Completed by Lukasz Kowalczyk MD
March 27, 2024
14 hours (approximately)
Lukasz Kowalczyk MD'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
