Fundamentals of Machine Learning for Healthcare
Completed by Shounak Chakraborty
March 29, 2026
14 hours (approximately)
Shounak Chakraborty'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: Machine Learning Methods
- Category: Healthcare Ethics
- Category: Applied Machine Learning
- Category: Artificial Intelligence
- Category: Model Evaluation
- Category: Responsible AI
- Category: Data Ethics
- Category: Reinforcement Learning
- Category: Health Policy
- Category: Machine Learning Algorithms
