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Machine Learning for Healthcare
by David Sontag & Peter Szolovits · MIT OpenCourseWare
4.5(850 reviews)
40K+ enrolled14 weeksUpdated 2023-06
What You'll Learn
Understand the fundamentals and key concepts of machine learning
Apply machine learning techniques to solve real-world problems
Understand the fundamentals and key concepts of healthcare AI
Apply healthcare AI techniques to solve real-world problems
Understand the fundamentals and key concepts of NLP
Apply NLP techniques to solve real-world problems
About This Course
MIT course applying ML to healthcare problems including clinical NLP, disease progression modeling, and causal inference.
Curriculum
Module 1: Machine learning & Healthcare AI6 lessons
- Introduction to machine learning
- Machine learning in Practice
- Hands-on Exercise: Machine learning
- Introduction to healthcare AI
- Healthcare AI in Practice
- Hands-on Exercise: Healthcare AI
Module 2: NLP & Causal inference6 lessons
- Introduction to NLP
- NLP in Practice
- Hands-on Exercise: NLP
- Introduction to causal inference
- Causal inference in Practice
- Hands-on Exercise: Causal inference
Module 3: Deep learning3 lessons
- Introduction to deep learning
- Deep learning in Practice
- Hands-on Exercise: Deep learning
Instructor
David Sontag & Peter Szolovits
Instructor at MIT OpenCourseWare
Pros & Cons
Pros
- Completely free to access
- High-quality video lectures
- Taught by David Sontag & Peter Szolovits
- Well-structured curriculum
Cons
- No certificate provided
- Requires significant prior knowledge
- Self-paced requires discipline
Free
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