Courses:

Course Info

• Course Number / Code:
• 18.465 (Spring 2007) 
• Course Title:
• Topics in Statistics: Statistical Learning Theory 
• Course Level:
• Graduate 
• Offered by :
• Massachusetts Institute of Technology (MIT)
  Massachusetts, United States  
• Department:
• Mathematics 
• Course Instructor(s):
• Prof. Dmitry Panchenko 
• Course Introduction:
•  
• 
  
  18.465 Topics in Statistics: Statistical Learning Theory
  
  
  
  

  Spring 2007

  
  
  

  
  
  

  Course Highlights

  
  
  

  
  
  18.465 Topics in Statistics: Statistical Learning Theory
  
  
  
  

  Spring 2007

  
  
  

  

  d2 represents Talagrand's convex-hull distance on the cube. (Image by Prof. Dmitry Panchenko.)

  
  
  

  Course Description

  
  
  

  The main goal of this course is to study the generalization ability of a number of popular machine learning algorithms such as boosting, support vector machines and neural networks. Topics include Vapnik-Chervonenkis theory, concentration inequalities in product spaces, and other elements of empirical process theory.