Fundamentals of Machine Learning for Healthcare
Completed by Josie Danielle Bolianatz
March 15, 2026
14 hours (approximately)
Josie Danielle Bolianatz'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: Machine Learning Algorithms
- Category: Model Training
- Category: Artificial Neural Networks
- Category: Health Informatics
- Category: Supervised Learning
- Category: Model Evaluation
- Category: Healthcare Industry Knowledge
- Category: Statistical Machine Learning
- Category: Machine Learning Methods
- Category: Applied Machine Learning
- Category: Deep Learning
- Category: Healthcare Ethics
