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6.034 Wiki: Main Page
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What Is a Knowledge Representation?
https://ai6034.mit.edu/wiki/images/Whatkr.pdf
Interactive Learning of Structural Shape Descriptions from ...
https://ai6034.mit.edu/wiki/images/HammondDavisIUI06.pdf
Human-level concept learning through probabilistic ...
https://ai6034.mit.edu/wiki/images/LakeDec2015.pdf
Useful Equations for solving SVM questions
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Main Page From 6.034 Wiki Jump to: navigation , search Somewhere, something went wrong. Contents 1 Welcome to 6.034/6.844 2 Note: We are no longer using this site. See MIT Canvas for current class information. 3 6.034 4 6.844 (Graduate Version) 4.1 Logistical stuff 4.2 Reference stuff 5 News Welcome to 6.034/6.844 Note: We are no longer using this site. See MIT Canvas for current class information. 6.034 6.034 introduces representations, methods, and architectures used to build applications and to account for human intelligence from a computational point of view. It covers problem solving and inference paradigms such as constrained search, constraint propagation, rule chaining, inheritance, and statistical inference. It also covers machine learning paradigms such as identification trees, neural nets, genetic algorithms, support-vector machines, and boosting. 6.034 meets Monday, Wednesday, and Friday from 10am to 11am. The lectures, in which we introduce material and talk about the "big picture", usually will be on Monday and Wednesday. On many Fridays, and the occasional Wednesday, you will learn about what is happening in the field right now from someone who is doing work right now in an area related to the lecture topics. The lectures, and most of the right-now talks, will be recorded and made available for later viewing. Four examinations, aka quizzes, will cover material from the lectures. Additional written assignments will cover material presented in lectures and/or the right-now talks. Labs are programming assignmentsLinks to an external site., released approximately every 7 to 10 days, in which you’ll practice your newly acquired skills. Recitations will meet weekly for an hour on Friday and will provide you with a venue in which you can review lecture material, work practice problems, and have small-group discussions. Students will choose their recitation times the first week of class. All students taking this class for credit must sign up for a recitation; attendance during the term is strongly encouraged but not required. Recitation meetings will not be recorded, but a recorded review of the week’s recitation material will be available for students unable to attend a recitation. 6.034 is no longer offered in the spring term. We are pleased to note that Bloomberg has listed 6.034 as among "Five of the Best Computer Science Classes in the U.S." 6.844 (Graduate Version) 6.844 was created in response to requests from grad students who wanted to take 6.034, but needed graduate level credit. It is a supplement to 6.034: You will take 6.034 as usual and do all of that work (lectures, labs, quizzes, etc.), and in addition attend the 6.844 session and do the work required there. That session will meet every Friday 11am-12pm virtually via Zoom. The Zoom link for the class can be found on the 6.844 Canvas site here . The class will be recorded and available for later viewing. For each 6.844 session, students read an assigned paper or papers from the research literature, write up a one page response to a set of provided questions, and come to class prepared to discuss answers to those questions. Accommodations will be made for students in different time zones. To keep the class size manageable and to encourage active class participation, we do not allow listeners. For more information, visit the 6.844 Info page or the 6.844 Canvas site . Logistical stuff Frequently asked questions Grading and collaboration policy Staff names and email addresses Office Hours Reference stuff Calendar Lecture schedule (Subject to change.) Reference material Labs (also known as "problem sets") Piazza Demonstrations Dylan’s AI Demonstrations Quiz archive 6.844 Info News Announcements Events Retrieved from " https://ai6034.mit.edu/wiki/index.php?title=Main_Page " Views Page Discussion View source History Personal tools Log in Navigation Main Page Staff area Calendar Recent changes Search Toolbox What links here Related changes Upload file Special pages Printable version Permanent link This page was last modified on 30 June 2022, at 15:45. Forsan et haec olim meminisse iuvabit...

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This Registry database contains ONLY .EDU domains. The data in the EDUCAUSE Whois database is provided by EDUCAUSE for information purposes in order to assist in the process of obtaining information about or related to .edu domain registration records. The EDUCAUSE Whois database is authoritative for the .EDU domain. A Web interface for the .EDU EDUCAUSE Whois Server is available at: http://whois.educause.edu By submitting a Whois query, you agree that this information will not be used to allow, enable, or otherwise support the transmission of unsolicited commercial advertising or solicitations via e-mail. The use of electronic processes to harvest information from this server is generally prohibited except as reasonably necessary to register or modify .edu domain names. Domain Name: MIT.EDU Massachusetts Institute of Technology 77 Massachusetts Ave Cambridge, MA 02139 USA Mark Silis Massachusetts Institute of Technology MIT Room W92-167, 77 Massachusetts Avenue Cambridge, MA 02139-4307 USA +1.6173245900 mark@mit.edu MIT Network Operations Massachusetts Institute of Technology MIT Room W92-167, 77 Massachusetts Avenue Cambridge, MA 02139-4307 USA +1.6172538400 noc@mit.edu EUR5.AKAM.NET USE5.AKAM.NET USE2.AKAM.NET USW2.AKAM.NET ASIA1.AKAM.NET ASIA2.AKAM.NET NS1-173.AKAM.NET NS1-37.AKAM.NET Domain record activated: 23-May-1985 Domain record last updated: 08-Jun-2021 Domain expires: 31-Jul-2024