# Introduction to Machine Learning | Electrical Engineering and Computer Science | MIT OpenCourseWare

https://ocw.mit.edu/courses/6-036-introduction-to-machine-learning-fall-2020/

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##  Course Info 
###  Instructors 
  * [Prof. Leslie Kaelbling](https://ocw.mit.edu/search/?q=Prof.+Leslie+Kaelbling)
  * [Prof. Tomás Lozano-Pérez](https://ocw.mit.edu/search/?q=Prof.+Tom%C3%A1s+Lozano-P%C3%A9rez)
  * [Prof. Isaac Chuang](https://ocw.mit.edu/search/?q=Prof.+Isaac+Chuang)
  * [Prof. Duane Boning](https://ocw.mit.edu/search/?q=Prof.+Duane+Boning)


###  Departments 
  * [Electrical Engineering and Computer Science](https://ocw.mit.edu/search/?d=Electrical+Engineering+and+Computer+Science)


###  As Taught In 
Fall 2020 
###  Level 
[Undergraduate](https://ocw.mit.edu/search/?l=Undergraduate)  

###  Topics 
  * [Engineering](https://ocw.mit.edu/search/?t=Engineering)
    * [Computer Science](https://ocw.mit.edu/search/?t=Computer+Science)
      * [Algorithms and Data Structures](https://ocw.mit.edu/search/?t=Algorithms+and+Data+Structures)
      * [Artificial Intelligence](https://ocw.mit.edu/search/?t=Artificial+Intelligence)


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6.036 | Fall 2020 | Undergraduate   
  

#  [Introduction to Machine Learning](https://ocw.mit.edu/courses/6-036-introduction-to-machine-learning-fall-2020/)
![](https://ocw.mit.edu/static_shared/images/expand.a062b1c47b121e3c7e03.svg) Menu
  * [Online Publication](https://openlearninglibrary.mit.edu/courses/course-v1:MITx+6.036+1T2019/about)
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####  Course Description 
This course introduces principles, algorithms, and applications of machine learning from the point of view of modeling and prediction. It includes formulation of learning problems and concepts of representation, over-fitting, and generalization. These concepts are exercised in supervised learning and reinforcement …
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This course introduces principles, algorithms, and applications of machine learning from the point of view of modeling and prediction. It includes formulation of learning problems and concepts of representation, over-fitting, and generalization. These concepts are exercised in supervised learning and reinforcement learning, with applications to images and to temporal sequences.
This course is part of the [Open Learning Library](https://openlearning.mit.edu/courses-programs/open-learning-library), which is free to use. You have the option to sign up and enroll in the course if you want to track your progress, or you can view and use all the materials without enrolling.
Show less
##  Course Info 
###  Instructors 
  * [Prof. Leslie Kaelbling](https://ocw.mit.edu/search/?q=Prof.+Leslie+Kaelbling)
  * [Prof. Tomás Lozano-Pérez](https://ocw.mit.edu/search/?q=Prof.+Tom%C3%A1s+Lozano-P%C3%A9rez)
  * [Prof. Isaac Chuang](https://ocw.mit.edu/search/?q=Prof.+Isaac+Chuang)
  * [Prof. Duane Boning](https://ocw.mit.edu/search/?q=Prof.+Duane+Boning)


###  Departments 
  * [Electrical Engineering and Computer Science](https://ocw.mit.edu/search/?d=Electrical+Engineering+and+Computer+Science)


###  Topics 
  * [Engineering](https://ocw.mit.edu/search/?t=Engineering)
    * [Computer Science](https://ocw.mit.edu/search/?t=Computer+Science)
      * [Algorithms and Data Structures](https://ocw.mit.edu/search/?t=Algorithms+and+Data+Structures)
      * [Artificial Intelligence](https://ocw.mit.edu/search/?t=Artificial+Intelligence)


![Outline illustration of brains on black background. ](https://ocw.mit.edu/courses/6-036-introduction-to-machine-learning-fall-2020/a50a4da4c48d789a4565bd0dc4646cf1_6-026f20.jpg)
In this course, students learn about machine learning. (Image courtesy of [yumikrum](https://www.flickr.com/photos/94725359@N06/23654633206/) on Flickr. Used under CC BY.)
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