Health Data Science Foundation

This course is part of Deep Learning for Healthcare Specialization

Instructor: Jimeng Sun

What you'll learn

  •   Machine Learning, Health Data Processing
  • Skills you'll gain

  •   Health Care
  •   Supervised Learning
  •   Artificial Neural Networks
  •   Health Informatics
  •   Applied Machine Learning
  •   Machine Learning
  •   Predictive Modeling
  •   Unsupervised Learning
  •   Image Analysis
  •   Deep Learning
  •   Program Development
  •   Artificial Intelligence and Machine Learning (AI/ML)
  • There are 4 modules in this course

    We cover deep learning (DL) methods, healthcare data and applications using DL methods. The courses include activities such as video lectures, self guided programming labs, homework assignments (both written and programming), and a large project. The first phase of the course will include video lectures on different DL and health applications topics, self-guided labs and multiple homework assignments. In this phase, you will build up your knowledge and experience in developing practical deep learning models on healthcare data. The second phase of the course will be a large project that can lead to a technical report and functioning demo of the deep learning models for addressing some specific healthcare problems. We expect the best projects can potentially lead to scientific publications.

    Week 2 - Health Data

    Week 3 - Machine Learning Basics

    Week 4 - Deep Neural Networks (DNN)

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