Fundamentals of Machine Learning for Healthcare
Completed by Timothy Raissian
May 4, 2024
14 hours (approximately)
Timothy Raissian'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: Model Training
- Category: Deep Learning
- Category: Healthcare Industry Knowledge
- Category: Artificial Neural Networks
- Category: Model Evaluation
- Category: Health Informatics
- Category: Supervised Learning
- Category: Responsible AI
- Category: Medical Science and Research
- Category: Machine Learning Algorithms
- Category: Generative Model Architectures
- Category: Statistical Machine Learning
