Fundamentals of Machine Learning for Healthcare
Completed by Omar Abdelaziz Elnekidy
February 20, 2024
14 hours (approximately)
Omar Abdelaziz Elnekidy'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: Generative Model Architectures
- Category: Model Training
- Category: Artificial Neural Networks
- Category: Healthcare Ethics
- Category: Supervised Learning
- Category: Reinforcement Learning
- Category: Health Policy
- Category: Applied Machine Learning
- Category: Artificial Intelligence and Machine Learning (AI/ML)
- Category: Deep Learning
- Category: Responsible AI
- Category: Health Informatics
