- Artificial Intelligence and Machine Learning (AI/ML)
- Machine Learning Algorithms
- Responsible AI
- Machine Learning
- Data Ethics
- Applied Machine Learning
- Healthcare Ethics
- Healthcare Industry Knowledge
- Medical Science and Research
- Health Policy
- Deep Learning
- Health Care
Fundamentals of Machine Learning for Healthcare
Completed by Anshuja Charvi Wadhwa
October 3, 2020
14 hours (approximately)
Anshuja Charvi Wadhwa'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
