Fundamentals of Machine Learning for Healthcare
Completed by Antony Greg Seeff
June 18, 2026
14 hours (approximately)
Antony Greg Seeff'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: Supervised Learning
- Category: Health Informatics
- Category: Model Evaluation
- Category: Artificial Intelligence and Machine Learning (AI/ML)
- Category: Artificial Neural Networks
- Category: Medical Science and Research
- Category: Healthcare Ethics
- Category: Machine Learning
- Category: Applied Machine Learning
- Category: Deep Learning
- Category: Machine Learning Algorithms
- Category: Machine Learning Methods
