Fundamentals of Machine Learning for Healthcare
Completed by Ravi Nagubandi
December 28, 2024
14 hours (approximately)
Ravi Nagubandi'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: Applied Machine Learning
- Category: Model Training
- Category: Supervised Learning
- Category: Model Evaluation
- Category: Responsible AI
- Category: Artificial Neural Networks
- Category: Health Informatics
- Category: Healthcare Industry Knowledge
- Category: Machine Learning Algorithms
- Category: Healthcare Ethics
- Category: Medical Science and Research
- Category: Statistical Machine Learning
