- Artificial Neural Networks
- Healthcare Ethics
- Health Policy
- Reinforcement Learning
- Data Ethics
- Artificial Intelligence and Machine Learning (AI/ML)
- Convolutional Neural Networks
- Applied Machine Learning
- Data Preprocessing
- Healthcare Industry Knowledge
- Model Evaluation
- Machine Learning
Fundamentals of Machine Learning for Healthcare
Completed by Hetshree Rathod
September 4, 2023
14 hours (approximately)
Hetshree Rathod'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
