Fundamentals of Machine Learning for Healthcare
Completed by Stephan Peter Joseph Ramaekers
November 14, 2020
14 hours (approximately)
Stephan Peter Joseph Ramaekers'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: Artificial Neural Networks
- Category: Model Training
- Category: Applied Machine Learning
- Category: Data Ethics
- Category: Deep Learning
- Category: Statistical Machine Learning
- Category: Health Policy
- Category: Machine Learning Methods
- Category: Artificial Intelligence and Machine Learning (AI/ML)
- Category: Healthcare Industry Knowledge
- Category: Machine Learning Algorithms
- Category: Responsible AI
