Fundamentals of Machine Learning for Healthcare
Completed by Baruc Emet Pérez BenÃtez
April 17, 2024
14 hours (approximately)
Baruc Emet Pérez BenÃtez'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: Applied Machine Learning
- Category: Model Training
- Category: Deep Learning
- Category: Artificial Neural Networks
- Category: Artificial Intelligence and Machine Learning (AI/ML)
- Category: Generative Model Architectures
- Category: Statistical Machine Learning
- Category: Machine Learning Methods
- Category: Health Informatics
- Category: Model Evaluation
- Category: Healthcare Industry Knowledge
