Fundamentals of Machine Learning for Healthcare
Completed by Dany-Armand Djeudeu-Deudjui
April 21, 2024
14 hours (approximately)
Dany-Armand Djeudeu-Deudjui'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
- Category: Health Informatics
- Category: Machine Learning Algorithms
- Category: Responsible AI
- Category: Machine Learning Methods
- Category: Data Ethics
- Category: Statistical Machine Learning
- Category: Applied Machine Learning
- Category: Supervised Learning
- Category: Model Training
- Category: Reinforcement Learning
- Category: Healthcare Industry Knowledge
