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: Responsible AI
- Category: Model Training
- Category: Healthcare Ethics
- Category: Machine Learning Methods
- Category: Reinforcement Learning
- Category: Machine Learning
- Category: Machine Learning Algorithms
- Category: Artificial Intelligence and Machine Learning (AI/ML)
- Category: Applied Machine Learning
- Category: Medical Science and Research
- Category: Health Informatics
- Category: Model Evaluation
