#  Classes 

 



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##  3 results 

### Spring, 2018

  [### Machine Learning

 ](/class/machine-learning) 

 **Semester:**   Spring 

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 **Year offered:**  2018 

 

 Introduction to machine learning, providing a probabilistic view on artificial intelligence and reasoning under uncertainty. Topics include: supervised learning, ensemble methods and boosting, neural networks, support vector machines, kernel methods, clustering and... 

 

   [### Office Hours

 ](/class/office-hours) 

 **Semester:**   Spring 

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 **Year offered:**  2018 

 

 Wednesday 3:00 PM to 4:30 PM 

 

  



### Spring, 2015

  [### Computer Science 282r: Decision-Making Under Uncertainty

 ](/class/computer-science-282r-decision-making-under-uncertainty) 

 **Semester:**   Spring 

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 **Year offered:**  2015 

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 **Link:** [Course Website](https://canvas.harvard.edu/courses/2449) 

 

 The focus of the Spring 2015 course will be reinforcement learning, a framework for solving problems involving a sequence of decisions with uncertain outcomes. This course will cover the fundamental theory through readings of classic papers and build practical intuition...