Fundamentals of Machine Learning for Healthcare
Completed by Emanuel Heil
January 2, 2024
14 hours (approximately)
Emanuel Heil'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: Data Ethics
- Category: Model Evaluation
- Category: Supervised Learning
- Category: Artificial Neural Networks
- Category: Health Informatics
- Category: Deep Learning
- Category: Machine Learning Methods
- Category: Statistical Machine Learning
- Category: Generative Model Architectures
- Category: Machine Learning Algorithms
