Fundamentals of Machine Learning for Healthcare
Completed by Shimels Derso Kebede
December 22, 2021
14 hours (approximately)
Shimels Derso Kebede'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: Supervised Learning
- Category: Machine Learning Methods
- Category: Health Policy
- Category: Healthcare Ethics
- Category: Model Evaluation
- Category: Artificial Neural Networks
- Category: Generative Model Architectures
- Category: Applied Machine Learning
- Category: Machine Learning Algorithms
- Category: Model Training
- Category: Reinforcement Learning
- Category: Health Informatics
