Fundamentals of Machine Learning for Healthcare
Completed by Yun Xu
March 12, 2021
14 hours (approximately)
Yun Xu'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: Data Ethics
- Category: Artificial Neural Networks
- Category: Artificial Intelligence and Machine Learning (AI/ML)
- Category: Healthcare Ethics
- Category: Machine Learning
- Category: Applied Machine Learning
- Category: Deep Learning
- Category: Machine Learning Algorithms
- Category: Machine Learning Methods
- Category: Artificial Intelligence
- Category: Model Evaluation
- Category: Reinforcement Learning
