- Machine Learning
- Healthcare Industry Knowledge
- Deep Learning
- Convolutional Neural Networks
- Data Preprocessing
- Responsible AI
- Data Ethics
- Reinforcement Learning
- Health Policy
- Applied Machine Learning
- Machine Learning Algorithms
- Artificial Intelligence and Machine Learning (AI/ML)
Fundamentals of Machine Learning for Healthcare
Completed by Sana Motallebi
September 22, 2021
14 hours (approximately)
Sana Motallebi'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
