This course is intended for persons involved in machine learning who are interested in medical applications, or vice versa, medical professionals who are interested in the methods modern computer science has to offer to their field. We will cover health data analysis, different types of neural networks, as well as training and application of neural networks applied on real-world medical scenarios.
Health Data Science Foundation
This course is part of Deep Learning for Healthcare Specialization
Taught in English
Some content may not be translated
Instructor: Jimeng Sun
3,328 already enrolled
Included with
Course
Recommended experience
What you'll learn
Machine Learning, Health Data Processing
Skills you'll gain
Details to know
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4 quizzes
Course
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There are 4 modules in this course
In the introduction we will introduce the topic of the course and present the background information.
What's included
3 videos3 readings1 quiz1 programming assignment1 discussion prompt
Health Data are generated in many different categories of medical services. We'll take a closer look at these, and what this means for Health Data standards.
What's included
8 videos3 readings1 quiz1 programming assignment
The topic of this week is Machine Learning. We'll look at
What's included
9 videos4 readings1 quiz1 programming assignment
What's included
4 videos2 readings1 quiz1 programming assignment1 plugin
Instructor
Recommended if you're interested in Machine Learning
University of Glasgow
University of Illinois at Urbana-Champaign
University of Illinois at Urbana-Champaign
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Taking this course by University of Illinois at Urbana-Champaign may provide you with a preview of the topics, materials and instructors in a related degree program which can help you decide if the topic or university is right for you.
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