Fundamentals of Machine Learning for Healthcare
Completed by Cut Amalia Saffiera
January 14, 2024
14 hours (approximately)
Cut Amalia Saffiera'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: Statistical Machine Learning
- Category: Model Training
- Category: Applied Machine Learning
- Category: Deep Learning
- Category: Machine Learning Algorithms
- Category: Healthcare Ethics
- Category: Medical Science and Research
- Category: Machine Learning Methods
- Category: Artificial Neural Networks
- Category: Artificial Intelligence and Machine Learning (AI/ML)
- Category: Health Informatics
- Category: Model Evaluation
