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Last updated:

September 23, 2022

Duration:

Unlimited Duration

FREE

This course includes:

Unlimited Duration

Badge on Completion

Certificate of completion

Unlimited Duration

Description

Broadly speaking, Machine Learning refers to the automated identification of patterns in data.

As such it has been a fertile ground for new statistical and algorithmic developments. The purpose of this course is to provide a mathematically rigorous introduction to these developments with emphasis on methods and their analysis.

You can read more about Prof. Rigollet’s work and courses on his website .

Course Curriculum

  • Introduction Unlimited
  • Binary Classification Unlimited
  • Concentration Inequalities Unlimited
  • Fast Rates and VC Theory Unlimited
  • The VC Inequality Unlimited
  • Covering Numbers Unlimited
  • Chaining Unlimited
  • Convexification Unlimited
  • Boosting Unlimited
  • Support Vector Machines Unlimited
  • Gradient Descent Unlimited
  • Projected Gradient Descent Unlimited
  • Mirror Descent Unlimited
  • Stochastic Gradient Descent Unlimited
  • Prediction with Expert Advice Unlimited
  • Follow the Perturbed Leader Unlimited
  • Online Learning with Structured Experts Unlimited
  • Stochastic Bandits Unlimited
  • Prediction of Individual Sequences Unlimited
  • Adversarial Bandits Unlimited
  • Linear Bandits Unlimited
  • Blackwell’s Approachability Unlimited
  • Potential Based Approachability Unlimited

About the instructor

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Courses

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Students

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Massachusetts Institute of Technology
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