About this Course

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Beginner Level
Approx. 12 hours to complete
English
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Flexible deadlines
Reset deadlines in accordance to your schedule.
Beginner Level
Approx. 12 hours to complete
English

Offered by

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Stanford University

Syllabus - What you will learn from this course

Week
1

Week 1

2 hours to complete

Why machine learning in healthcare?

2 hours to complete
7 videos (Total 34 min), 6 readings, 3 quizzes
7 videos
History of AI in Medicine6m
Course Overview4m
Why Healthcare Needs Machine Learning2m
Machine Learning Magic8m
Machine Learning, Biostatistics, Programming4m
Can Machine Learning Solve Everything?5m
6 readings
Getting Started: Creators of This Course5m
Video Image Credit
Video Image Credit
Study Guide Module 15m
Citations and Additional Readings10m
Video Image Credit
3 practice exercises
Reflection Exercise15m
Reflection Exercise10m
Knowledge Check30m
Week
2

Week 2

2 hours to complete

Concepts and Principles of machine learning in healthcare part 1

2 hours to complete
8 videos (Total 51 min), 2 readings, 3 quizzes
8 videos
Machine Learning Terms, Definitions, and Jargon Part 210m
How Machines Learn Part 18m
How Machines Learn Part 25m
Supervised Machine Learning Approaches: Regression and the "No Free Lunch" Theorem3m
Other Traditional Supervised Machine Learning Approaches3m
Support Vector Machine (SVM)3m
Unsupervised Machine Learning4m
2 readings
Study Guide Module 25m
Citations and Additional Readings5m
3 practice exercises
Reflection Exercise10m
Reflection Exercise10m
Knowledge Check30m
Week
3

Week 3

2 hours to complete

Concepts and Principles of machine learning in healthcare part 2

2 hours to complete
10 videos (Total 63 min), 3 readings, 3 quizzes
10 videos
Deep Learning and Neural Networks6m
Cross Entropy Loss3m
Gradient Descent6m
Representing Unstructured Image and Text Data5m
Convolutional Neural Networks4m
Natural Language Processing and Recurrent Neural Networks7m
The Transformer Architecture for Sequences4m
Commonly Used and Advanced Neural Network Architectures6m
Advanced Computer Vision Tasks and Wrap-Up10m
3 readings
Video Image Credit
Study Guide Module 35m
Citations and Additional Readings5m
3 practice exercises
Reflection Exercise10m
Reflection Exercise10m
Knowledge Check30m
Week
4

Week 4

2 hours to complete

Evaluation and Metrics for machine learning in healthcare

2 hours to complete
5 videos (Total 35 min), 2 readings, 3 quizzes
5 videos
Overfitting and Underfitting8m
Strategies to Address Overfitting, Underfitting and Introduction to Regularization 5m
Statistical Approaches to Model Evaluation5m
Receiver Operator and Precision Recall Curves as Evaluation Metrics11m
2 readings
Study Guide Module 45m
Citations and Additional Readings5m
3 practice exercises
Reflection Exercise 110m
Reflection Exercise 210m
Knowledge Check30m

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About the AI in Healthcare Specialization

AI in Healthcare

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