Fundamentals of Machine Learning for Healthcare
Completed by Clinton John Morelock
June 17, 2025
14 hours (approximately)
Clinton John Morelock'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: Responsible AI
- Category: Data Ethics
- Category: Model Evaluation
- Category: Artificial Neural Networks
- Category: Deep Learning
- Category: Applied Machine Learning
- Category: Healthcare Ethics
- Category: Model Training
- Category: Supervised Learning
- Category: Artificial Intelligence and Machine Learning (AI/ML)
- Category: Health Informatics
