Fundamentals of Machine Learning for Healthcare
Completed by Ozioma Edokobi
September 21, 2024
14 hours (approximately)
Ozioma Edokobi'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: Model Evaluation
- Category: Responsible AI
- Category: Healthcare Ethics
- Category: Health Informatics
- Category: Reinforcement Learning
- Category: Generative Model Architectures
- Category: Data Ethics
- Category: Statistical Machine Learning
- Category: Applied Machine Learning
- Category: Supervised Learning
- Category: Artificial Neural Networks
- Category: Artificial Intelligence and Machine Learning (AI/ML)
