Fundamentals of Machine Learning for Healthcare
Completed by Charles Chaim Haber
December 13, 2025
14 hours (approximately)
Charles Chaim Haber'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: Artificial Intelligence and Machine Learning (AI/ML)
- Category: Artificial Neural Networks
- Category: Supervised Learning
- Category: Health Informatics
- Category: Model Evaluation
- Category: Statistical Machine Learning
- Category: Applied Machine Learning
- Category: Deep Learning
- Category: Machine Learning Methods
- Category: Machine Learning Algorithms
- Category: Data Ethics
- Category: Model Training
