Fundamentals of Machine Learning for Healthcare
Completed by Lukasz Kowalczyk MD
March 27, 2024
14 hours (approximately)
Lukasz Kowalczyk MD'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
- Category: Health Informatics
- Category: Deep Learning
- Category: Medical Science and Research
- Category: Machine Learning
- Category: Data Ethics
- Category: Artificial Intelligence and Machine Learning (AI/ML)
- Category: Responsible AI
- Category: Generative Model Architectures
- Category: Healthcare Ethics
- Category: Reinforcement Learning
- Category: Healthcare Industry Knowledge
- Category: Artificial Neural Networks
