Fundamentals of Machine Learning for Healthcare
Completed by Kumaran Ottilingam Ravindran
October 31, 2024
14 hours (approximately)
Kumaran Ottilingam Ravindran'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 Ethics
- Category: Medical Science and Research
- Category: Machine Learning
- Category: Artificial Intelligence and Machine Learning (AI/ML)
- Category: Machine Learning Algorithms
- Category: Responsible AI
- Category: Health Informatics
- Category: Model Evaluation
- Category: Healthcare Industry Knowledge
- Category: Data Ethics
- Category: Supervised Learning
- Category: Applied Machine Learning
