Fundamentals of Machine Learning for Healthcare
Completed by Christopher Pullins
December 2, 2024
14 hours (approximately)
Christopher Pullins'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: Supervised Learning
- Category: Model Evaluation
- Category: Healthcare Industry Knowledge
- Category: Health Informatics
- Category: Artificial Neural Networks
- Category: Machine Learning Methods
- Category: Model Training
- Category: Artificial Intelligence and Machine Learning (AI/ML)
- Category: Applied Machine Learning
- Category: Deep Learning
- Category: Generative Model Architectures
- Category: Machine Learning
