Fundamentals of Machine Learning for Healthcare
Completed by Eda AYDIN
September 20, 2024
14 hours (approximately)
Eda AYDIN'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: Healthcare Industry Knowledge
- Category: Supervised Learning
- Category: Healthcare Ethics
- Category: Deep Learning
- Category: Artificial Neural Networks
- Category: Machine Learning Methods
- Category: Health Informatics
- Category: Model Training
- Category: Reinforcement Learning
- Category: Machine Learning Algorithms
- Category: Health Policy
- Category: Applied Machine Learning
