Fundamentals of Machine Learning for Healthcare
Completed by Nicholine Suzanne Davis
May 6, 2024
14 hours (approximately)
Nicholine Suzanne Davis'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: Machine Learning Methods
- Category: Generative Model Architectures
- Category: Machine Learning
- Category: Healthcare Ethics
- Category: Medical Science and Research
- Category: Responsible AI
- Category: Machine Learning Algorithms
- Category: Artificial Intelligence and Machine Learning (AI/ML)
- Category: Applied Machine Learning
- Category: Data Ethics
- Category: Model Evaluation
- Category: Supervised Learning
