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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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1

English

English [CC]

FREE

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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