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This course presents the main concepts of decision analysis, artificial intelligence, and predictive model construction and evaluation in the specific context of medical applications.
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English
English [CC]
FREE
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Description
The advantages and disadvantages of using these methods in real-world systems are emphasized, while students gain hands-on experience with application specific methods. The technical focus of the course includes decision analysis, knowledge-based systems (qualitative and quantitative), learning systems (including logistic regression, classification trees, neural networks), and techniques to evaluate the performance of such systems.
Course content
- Introduction to Course Unlimited
- Decision Analysis 1 Unlimited
- Decision Analysis 2, Linear Regression Unlimited
- Logistic Regression, MLE Unlimited
- Evaluation Unlimited
- Ensemble Models Unlimited
- PCA, LDA Unlimited
- Unsupervised Learning Unlimited
- Neural Networks Unlimited
- Review Unlimited
- Survival Analysis Unlimited
- Statistical Learning Theory Unlimited
- Model Construction Schemas 1 Unlimited
- Analysis of Problems, Complexity Unlimited
- Bioinformatics 1 (Hypothesis Generation, Sequence Alignment) Unlimited
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Instructor
Massachusetts Institute of Technology
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1916
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