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1. ocw.mit.eduMIT OpenCourseWare | Free Online Course Materials

   ocw.mit.edu

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   Jun 24, 2024 · MIT OpenCourseWare is an online publication of materials from over 2,500 MIT courses, freely sharing knowledge with learners and educators around the world. Learn more

2. openlearning.mit.edu › courses-programs › mit-opencoursewareFree Online Courses from MIT OCW | Open Learning

   openlearning.mit.edu › courses-programs › mit-opencourseware

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   MIT OpenCourseWare (OCW) is a free, publicly accessible, openly-licensed digital collection of high-quality teaching and learning materials, presented in an easily accessible format. Browse through, download and use materials from more than 2,500 MIT on-campus courses and supplemental resources, all available under a Creative Commons license ...

3. ocw.mit.edu › searchSearch | MIT OpenCourseWare | Free Online Course Materials

   ocw.mit.edu › search

   MIT OpenCourseWare is a web based publication of virtually all MIT course content. OCW is open and available to the world and is a permanent MIT activity

4. ocw.mit.edu › pages › get-startedGet Started | MIT OpenCourseWare | Free Online Course Materials

   ocw.mit.edu › pages › get-started

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   OCW is a free and open publication of material from thousands of MIT courses across the entire MIT curriculum. That’s courses from every MIT department and degree program, and ranging from the introductory to the most advanced graduate level.

5. ocw.mit.edu › collections › introductory-programmingIntroductory Programming | MIT OpenCourseWare | Free Online...

   ocw.mit.edu › collections › introductory-programming

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   MIT OpenCourseWare is an online publication of materials from over 2,500 MIT courses, freely sharing knowledge with learners and educators around the world. Learn more

6. ocw.mit.edu › courses › 6-036-introduction-to-machine-learning-fall-2020Introduction to Machine Learning - MIT OpenCourseWare

   ocw.mit.edu › courses › 6-036-introduction-to-machine-learning-fall-2020

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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.

7. ocw.mit.edu › course-lists › open-learning-libraryMIT Open Learning Library | MIT OpenCourseWare | Free Online...

   ocw.mit.edu › course-lists › open-learning-library

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   MIT OpenCourseWare is an online publication of materials from over 2,500 MIT courses, freely sharing knowledge with learners and educators around the world. Learn more

8. ocw.mit.edu › collections › mit-open-learning-libraryMIT Open Learning Library | MIT OpenCourseWare | Free Online...

   ocw.mit.edu › collections › mit-open-learning-library

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   The MIT Open Learning Library is home to selected educational content from MIT OpenCourseWare and MITx courses, available for free to anyone in the world at any time. How MIT Open Learning Library Differs from MIT OpenCourseWare and MITx on edX.

9. ocw.mit.edu › aboutAbout Us | MIT OpenCourseWare | Free Online Course Materials

   ocw.mit.edu › about

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   MIT OpenCourseWare is a free and open collection of material from thousands of MIT courses, covering the entire MIT curriculum. Knowledge is your reward. Use OCW to guide your own life-long learning, or to teach others.

10. ocw.mit.edu › courses › 6-034-artificial-intelligence-fall-2010Artificial Intelligence | Electrical Engineering ... - MIT...

    ocw.mit.edu › courses › 6-034-artificial-intelligence-fall-2010

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    This course introduces students to the basic knowledge representation, problem solving, and learning methods of artificial intelligence. Upon completion of 6.034, students should be able to develop intelligent systems by assembling solutions to concrete computational problems; understand the role of knowledge …. Show more.