About this Course

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Flexible deadlines
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Shareable Certificate
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100% online
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Beginner Level
Approx. 12 hours to complete
English

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.

Flexible deadlines
Reset deadlines in accordance to your schedule.
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own 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
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
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
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

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About the AI in Healthcare Specialization

AI in Healthcare

Frequently Asked Questions

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