Fundamentals of Machine Learning for Healthcare
Completed by Satvick Suman
March 13, 2024
14 hours (approximately)
Satvick Suman'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: Artificial Neural Networks
- Category: Artificial Intelligence and Machine Learning (AI/ML)
- Category: Machine Learning Algorithms
- Category: Generative Model Architectures
- Category: Machine Learning
- Category: Model Training
- Category: Applied Machine Learning
- Category: Deep Learning
- Category: Supervised Learning
- Category: Model Evaluation
- Category: Healthcare Industry Knowledge
- Category: Health Informatics
