Fundamentals of Machine Learning for Healthcare
Completed by Robert Jakob
October 14, 2023
14 hours (approximately)
Robert Jakob'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
- Category: Healthcare Industry Knowledge
- Category: Artificial Neural Networks
- Category: Machine Learning Algorithms
- Category: Generative Model Architectures
- Category: Machine Learning Methods
- Category: Artificial Intelligence and Machine Learning (AI/ML)
- Category: Model Evaluation
- Category: Healthcare Ethics
- Category: Health Informatics
- Category: Medical Science and Research
- Category: Deep Learning
