Fundamentals of Machine Learning for Healthcare
Completed by Daniel Turner
January 5, 2025
14 hours (approximately)
Daniel Turner'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: Model Evaluation
- Category: Responsible AI
- Category: Healthcare Industry Knowledge
- Category: Supervised Learning
- Category: Data Ethics
- Category: Applied Machine Learning
- Category: Statistical Machine Learning
- Category: Generative Model Architectures
- Category: Machine Learning Methods
- Category: Model Training
- Category: Deep Learning
