Fundamentals of Machine Learning for Healthcare
Completed by Alfred-John Balbuena Bayaton
April 17, 2024
14 hours (approximately)
Alfred-John Balbuena Bayaton'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: Medical Science and Research
- Category: Health Policy
- Category: Machine Learning Methods
- Category: Artificial Neural Networks
- Category: Artificial Intelligence and Machine Learning (AI/ML)
- Category: Generative Model Architectures
- Category: Healthcare Ethics
- Category: Machine Learning
- Category: Applied Machine Learning
- Category: Model Training
- Category: Deep Learning
- Category: Supervised Learning
