Fundamentals of Machine Learning for Healthcare
Completed by Shirin Khosravani
April 6, 2024
14 hours (approximately)
Shirin Khosravani'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: Healthcare Ethics
- Category: Medical Science and Research
- Category: Data Ethics
- Category: Supervised Learning
- Category: Reinforcement Learning
- Category: Health Policy
- Category: Health Informatics
- Category: Model Evaluation
- Category: Deep Learning
- Category: Statistical Machine Learning
- Category: Machine Learning Methods
- Category: Artificial Neural Networks
