Fundamentals of Machine Learning for Healthcare
Completed by Sri Veerabhadra Karthik Mulugu
April 19, 2025
14 hours (approximately)
Sri Veerabhadra Karthik Mulugu'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: Responsible AI
- Category: Machine Learning Methods
- Category: Artificial Neural Networks
- Category: Machine Learning Algorithms
- Category: Health Policy
- Category: Healthcare Ethics
- Category: Data Ethics
- Category: Health Informatics
- Category: Artificial Intelligence and Machine Learning (AI/ML)
- Category: Model Training
