Fundamentals of Machine Learning for Healthcare
Completed by Amith Hebbar
November 1, 2021
14 hours (approximately)
Amith Hebbar'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: Machine Learning Methods
- Category: Generative Model Architectures
- Category: Data Ethics
- Category: Applied Machine Learning
- Category: Supervised Learning
- Category: Model Training
- Category: Artificial Neural Networks
- Category: Health Informatics
- Category: Healthcare Ethics
- Category: Medical Science and Research
- Category: Deep Learning
