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.