Fundamentals of Machine Learning for Healthcare
Completed by Suzanne van Tienen
March 10, 2024
14 hours (approximately)
Suzanne van Tienen'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: Artificial Neural Networks
- Category: Model Training
- Category: Model Evaluation
- Category: Healthcare Industry Knowledge
- Category: Health Informatics
- Category: Supervised Learning
- Category: Deep Learning
- Category: Artificial Intelligence and Machine Learning (AI/ML)
- Category: Applied Machine Learning
- Category: Statistical Machine Learning
- Category: Medical Science and Research
