- Machine Learning Algorithms
- Artificial Intelligence and Machine Learning (AI/ML)
- Model Evaluation
- Applied Machine Learning
- Machine Learning
- Artificial Neural Networks
- Data Preprocessing
- Health Policy
- Deep Learning
- Reinforcement Learning
- Healthcare Ethics
- Convolutional Neural Networks
Fundamentals of Machine Learning for Healthcare
Completed by UDAY AMBI
December 23, 2020
14 hours (approximately)
UDAY AMBI'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
