- Supervised Learning
- Data Processing
- Healthcare Ethics
- Medical Science and Research
- Machine Learning
- Health Policy
- Machine Learning Algorithms
- Artificial Intelligence and Machine Learning (AI/ML)
- Responsible AI
- Health Informatics
- Deep Learning
- Data Ethics
Fundamentals of Machine Learning for Healthcare
Completed by Muhammad Ahmed Anwari
November 4, 2023
14 hours (approximately)
Muhammad Ahmed Anwari'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
