Fundamentals of Machine Learning for Healthcare
Completed by Eda AYDIN
September 20, 2024
14 hours (approximately)
Eda AYDIN'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: Machine Learning Algorithms
- Category: Deep Learning
- Category: Generative Model Architectures
- Category: Applied Machine Learning
- Category: Medical Science and Research
- Category: Statistical Machine Learning
- Category: Data Ethics
- Category: Machine Learning
- Category: Artificial Intelligence and Machine Learning (AI/ML)
- Category: Model Training
- Category: Model Evaluation
- Category: Artificial Neural Networks
