Fundamentals of Machine Learning for Healthcare
Completed by Maria Rodriguez-Paton Teira
December 5, 2024
14 hours (approximately)
Maria Rodriguez-Paton Teira'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 Training
- Category: Applied Machine Learning
- Category: Deep Learning
- Category: Health Informatics
- Category: Healthcare Ethics
- Category: Machine Learning
- Category: Generative Model Architectures
- Category: Supervised Learning
- Category: Responsible AI
- Category: Machine Learning Algorithms
- Category: Medical Science and Research
- Category: Artificial Intelligence and Machine Learning (AI/ML)
