- Data Ethics
- Responsible AI
- Healthcare Ethics
- Artificial Neural Networks
- Artificial Intelligence and Machine Learning (AI/ML)
- Data Preprocessing
- Reinforcement Learning
- Applied Machine Learning
- Machine Learning
- Machine Learning Algorithms
- Deep Learning
- Healthcare Industry Knowledge
Fundamentals of Machine Learning for Healthcare
Completed by Alexey Soshnin
September 16, 2023
14 hours (approximately)
Alexey Soshnin'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
