Fundamentals of Machine Learning for Healthcare
Completed by Renjith Kathalikkattil Ravindran
November 12, 2023
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.
Skills you will gain
- Category: Applied Machine Learning
- Category: Health Informatics
- Category: Deep Learning
- Category: Supervised Learning
- Category: Reinforcement Learning
- Category: Data Ethics
- Category: Health Policy
- Category: Model Training
- Category: Generative Model Architectures
- Category: Machine Learning
- Category: Artificial Intelligence and Machine Learning (AI/ML)
- Category: Model Evaluation
