Fundamentals of Machine Learning for Healthcare
Completed by Hans Kato
November 25, 2024
14 hours (approximately)
Hans Kato'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: Statistical Machine Learning
- Category: Responsible AI
- Category: Model Training
- Category: Healthcare Industry Knowledge
- Category: Deep Learning
- Category: Machine Learning Algorithms
- Category: Applied Machine Learning
- Category: Artificial Neural Networks
- Category: Artificial Intelligence and Machine Learning (AI/ML)
- Category: Supervised Learning
- Category: Reinforcement Learning
- Category: Health Policy
