Fundamentals of Machine Learning for Healthcare
Completed by Adam Lichtenberg
August 14, 2025
14 hours (approximately)
Adam Lichtenberg'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: Responsible AI
- Category: Healthcare Ethics
- Category: Health Informatics
- Category: Model Training
- Category: Artificial Neural Networks
- Category: Statistical Machine Learning
- Category: Medical Science and Research
- Category: Applied Machine Learning
- Category: Deep Learning
- Category: Health Policy
- Category: Healthcare Industry Knowledge
- Category: Model Evaluation
