Fundamentals of Machine Learning for Healthcare
Completed by Vaishnavi Niyogi
March 25, 2021
14 hours (approximately)
Vaishnavi Niyogi'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: Machine Learning Methods
- Category: Generative Model Architectures
- Category: Deep Learning
- Category: Applied Machine Learning
- Category: Model Training
- Category: Machine Learning
- Category: Reinforcement Learning
- Category: Health Policy
- Category: Health Informatics
- Category: Model Evaluation
- Category: Healthcare Industry Knowledge
