Fundamentals of Machine Learning for Healthcare
Completed by Abdul Raheem Khursheed Malik
July 29, 2024
14 hours (approximately)
Abdul Raheem Khursheed Malik'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: Machine Learning Algorithms
- Category: Machine Learning Methods
- Category: Artificial Intelligence
- Category: Model Evaluation
- Category: Data Ethics
- Category: Reinforcement Learning
- Category: Health Policy
- Category: Healthcare Ethics
- Category: Applied Machine Learning
- Category: Deep Learning
- Category: Machine Learning
- Category: Artificial Intelligence and Machine Learning (AI/ML)
