- Applied Machine Learning
- Model Evaluation
- Data Preprocessing
- Data Ethics
- Deep Learning
- Healthcare Ethics
- Machine Learning
- Responsible AI
- Machine Learning Algorithms
- Artificial Neural Networks
- Reinforcement Learning
- Health Policy
Fundamentals of Machine Learning for Healthcare
Completed by Giuseppe Abate
May 26, 2024
14 hours (approximately)
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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.