Fundamentals of Machine Learning for Healthcare
Completed by Herman Christian Busch
November 17, 2020
14 hours (approximately)
Herman Christian Busch'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: Model Training
- Category: Applied Machine Learning
- Category: Deep Learning
- Category: Reinforcement Learning
- Category: Statistical Machine Learning
- Category: Health Policy
- Category: Machine Learning Methods
- Category: Generative Model Architectures
- Category: Machine Learning
- Category: Artificial Neural Networks
- Category: Artificial Intelligence and Machine Learning (AI/ML)
- Category: Machine Learning Algorithms
