Fundamentals of Machine Learning for Healthcare
Completed by Novena Kwok
June 24, 2025
14 hours (approximately)
Novena Kwok'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: Supervised Learning
- Category: Health Informatics
- Category: Model Evaluation
- Category: Statistical Machine Learning
- Category: Machine Learning Methods
- Category: Artificial Neural Networks
- Category: Artificial Intelligence and Machine Learning (AI/ML)
- Category: Healthcare Industry Knowledge
- Category: Healthcare Ethics
- Category: Generative Model Architectures
- Category: Model Training
- Category: Deep Learning
