Fundamentals of Machine Learning for Healthcare
Completed by Jacky Chen
December 3, 2022
14 hours (approximately)
Jacky Chen'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: Reinforcement Learning
- Category: Health Informatics
- Category: Machine Learning
- Category: Machine Learning Methods
- Category: Health Policy
- Category: Healthcare Industry Knowledge
- Category: Statistical Machine Learning
- Category: Model Training
- Category: Generative Model Architectures
- Category: Data Ethics
- Category: Artificial Intelligence and Machine Learning (AI/ML)
- Category: Machine Learning Algorithms
