Fundamentals of Machine Learning for Healthcare
Completed by Rachel Weichao Zhai
June 5, 2024
14 hours (approximately)
Rachel Weichao Zhai'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: Deep Learning
- Category: Data Ethics
- Category: Applied Machine Learning
- Category: Artificial Intelligence and Machine Learning (AI/ML)
- Category: Healthcare Industry Knowledge
- Category: Model Training
- Category: Artificial Neural Networks
- Category: Machine Learning
- Category: Healthcare Ethics
- Category: Supervised Learning
- Category: Health Informatics
- Category: Model Evaluation
