Fundamentals of Machine Learning for Healthcare
Completed by Giuseppe Abate
May 26, 2024
14 hours (approximately)
Giuseppe Abate'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: Data Ethics
- Category: Healthcare Ethics
- Category: Generative Model Architectures
- Category: Model Evaluation
- Category: Supervised Learning
- Category: Healthcare Industry Knowledge
- Category: Health Policy
- Category: Responsible AI
- Category: Artificial Neural Networks
- Category: Artificial Intelligence and Machine Learning (AI/ML)
- Category: Model Training
- Category: Applied Machine Learning
