- Medical Science and Research
- Machine Learning Algorithms
- Supervised Learning
- Artificial Neural Networks
- Machine Learning
- Health Policy
- Deep Learning
- Responsible AI
- Reinforcement Learning
- Applied Machine Learning
- Health Care
- Healthcare Industry Knowledge
Fundamentals of Machine Learning for Healthcare
Completed by Meng-Fen Tsai
May 18, 2023
14 hours (approximately)
Meng-Fen Tsai'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
