Fundamentals of Machine Learning for Healthcare
Completed by Daniel Z. Lieberman
January 16, 2025
14 hours (approximately)
Daniel Z. Lieberman'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 Methods
- Category: Generative Model Architectures
- Category: Applied Machine Learning
- Category: Data Ethics
- Category: Model Evaluation
- Category: Healthcare Industry Knowledge
- Category: Supervised Learning
- Category: Statistical Machine Learning
- Category: Health Informatics
- Category: Model Training
- Category: Deep Learning
- Category: Machine Learning Algorithms
