Reference material

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(Topics and Playlist 2016)
(Topics and Playlist 2016)
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| 19 || Mon || [http://courses.csail.mit.edu/6.034f/ai3/ch6.pdf Games] || 1 || Olympic Anthem
| 19 || Mon || [http://courses.csail.mit.edu/6.034f/ai3/ch6.pdf Games] || 1 || Olympic Anthem
|-
|-
-
| 21 || Wed || [http://courses.csail.mit.edu/6.034f/ai3/ch12.pdf Constraints in interpretation] || 2srn || I Can't Get No Satisfaction, Stones
+
| 21 || Wed || [http://courses.csail.mit.edu/6.034f/ai3/ch12.pdf Constraints in interpretation] || 2 || I Can't Get No Satisfaction, Stones
|-  
|-  
| 23 || Fri || Holiday: Student || - || -
| 23 || Fri || Holiday: Student || - || -
Line 30: Line 30:
| 28 || Wed || Quiz 1|| - || -
| 28 || Wed || Quiz 1|| - || -
|-  
|-  
-
| 30 || Fri || Gerald J. Sussman || 2srn || -
+
| 30 || Fri || Gerald J. Sussman || 2rn || -
|-
|-
! October !!Day!! Topic !! Quiz #!! Playlist
! October !!Day!! Topic !! Quiz #!! Playlist
Line 52: Line 52:
| 21 || Fri || [http://courses.csail.mit.edu/6.034f/ai3/ch25.pdf Genetic algorithms] || 3srn || Let's spend the night together, Stones
| 21 || Fri || [http://courses.csail.mit.edu/6.034f/ai3/ch25.pdf Genetic algorithms] || 3srn || Let's spend the night together, Stones
|-
|-
 +
| 24 || Mon || [http://courses.csail.mit.edu/6.803/pdf/yip.pdf Learning in sparse spaces] || 3/3srn || You talk too much, Peas
 +
|-
 +
| 26 || Wed || [http://courses.csail.mit.edu/6.034f/ai3/SVM.pdf Support-vector machines], [http://ai6034.mit.edu/fall11/images/SVM_= Topics and Playlist 2016 =
 +
 +
Assignment of material to quizzes is tentative, but final assignment will be announced
 +
well before each quiz.
 +
 +
<i>srn</i> in an assignment means the material will be in the "spiritual" and "right-now" part of the
 +
quiz.  See [[Grading and collaboration policy]].
 +
 +
{| border=1 cellspacing=0 cellpadding=3 style="font-size:90%;"
 +
! September !!Day!! Topic !! Quiz #  !! Playlist
 +
|-
 +
|  7 || Wed || What it's all about ||<!-- 1 --> || This could be the last time, Stones
 +
|-
 +
|  9 || Fri || [http://courses.csail.mit.edu/6.034f/ai3/saint.pdf Goal trees and problem solving] || 1 || Start me up, Stones
 +
|-
 +
| 12 || Mon || [http://courses.csail.mit.edu/6.034f/ai3/ch3.pdf Rule-based expert systems (pp.53-60)] || 1 || It's Only Rock and Roll
 +
|-
 +
| 14 || Wed || [http://courses.csail.mit.edu/6.034f/ai3/ch4.pdf Lightning review: Basic search] || 1 || Searchin', Beatles
 +
|-
 +
| 16 || Fri || [http://courses.csail.mit.edu/6.034f/ai3/ch5.pdf Optimal search] || 1 || Route 66, Stones
 +
|-
 +
| 19 || Mon || [http://courses.csail.mit.edu/6.034f/ai3/ch6.pdf Games] || 1 || Olympic Anthem
 +
|-
 +
| 21 || Wed || [http://courses.csail.mit.edu/6.034f/ai3/ch12.pdf Constraints in interpretation] || 2 || I Can't Get No Satisfaction, Stones
 +
|-
 +
| 23 || Fri || Holiday: Student || - || -
 +
|-
 +
| 26 || Mon || Constraints in resource allocation || 2 || Paint it Black, Stones
 +
|-
 +
| 28 || Wed || Quiz 1|| - || -
 +
|-
 +
| 30 || Fri || Gerald J. Sussman || 2rn || -
 +
|-
 +
! October !!Day!! Topic !! Quiz #!! Playlist
 +
|-
 +
| 3 || Mon || [http://courses.csail.mit.edu/6.034f/ai3/ch19.pdf Nearest neighbor learning] /[http://courses.csail.mit.edu/6.034f/sleep.pdf Sleep] || 2 || ABC song, Ray Charles et al.
 +
|-
 +
| 5 || Wed || [http://courses.csail.mit.edu/6.034f/ai3/ch21.pdf Identification tree learning] || 2 || - <!-- Romanian national anthem, Desteapta-te române! -->
 +
|-
 +
| 7 || Fri || Edward Boyden: Real neural nets || 2srn || -
 +
|-
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| 10 || Mon || Holiday: Columbus day || - || -
 +
|-
 +
| 12 || Wed || [http://courses.csail.mit.edu/6.034f/ai3/netmath.pdf Neural net learning] || 3 || 19th Nervous Breakdown, Stones 
 +
|-
 +
| 14 || Fri || Deep neural nets  || 2srn || Ain't no mountain high enough, Marvin Gaye
 +
|-
 +
| 17 || Mon || Nancy Kanwisher: What lights up when you think || 2srn || -
 +
|-
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| 19 || Wed || Quiz 2|| - || -
 +
|-
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| 21 || Fri || [http://courses.csail.mit.edu/6.034f/ai3/ch25.pdf Genetic algorithms] || 3srn || Let's spend the night together, Stones
 +
|-
 +
| 24 || Mon || [http://courses.csail.mit.edu/6.803/pdf/yip.pdf Learning in sparse spaces] || 3/3srn || You talk too much, Peas
 +
|-
 +
| 26 || Wed || [http://courses.csail.mit.edu/6.034f/ai3/SVM.pdf Support-vector machines], [http://ai6034.mit.edu/fall11/images/SVM_and_Boosting.pdf SVM (and Boosting) Notes] || 3 || Oh no, not you again, Stones
 +
|-
 +
| 28 || Fri || [http://courses.csail.mit.edu/6.034f/ai3/ch16.pdf Learning from near misses] || 3/3srn || Miss You, Stones <!-- Shippin up to Boston, Dropkick Murphys Imma Be Rocking
 +
that Body, Peas -->
 +
and_Boosting.pdf SVM (and Boosting) Notes] || 3 || Oh no, not you again, Stones
 +
|-
 +
| 23 || Fri || [http://courses.csail.mit.edu/6.034f/ai3/ch16.pdf Learning from near misses] || 3/3srn || Miss You, Stones <!-- Shippin up to Boston, Dropkick Murphys Imma Be Rocking
 +
that Body, Peas -->

Revision as of 22:32, 20 October 2016

Topics and Playlist 2016

Assignment of material to quizzes is tentative, but final assignment will be announced well before each quiz.

srn in an assignment means the material will be in the "spiritual" and "right-now" part of the quiz. See Grading and collaboration policy.

September Day Topic Quiz # Playlist
7 Wed What it's all about This could be the last time, Stones
9 Fri Goal trees and problem solving 1 Start me up, Stones
12 Mon Rule-based expert systems (pp.53-60) 1 It's Only Rock and Roll
14 Wed Lightning review: Basic search 1 Searchin', Beatles
16 Fri Optimal search 1 Route 66, Stones
19 Mon Games 1 Olympic Anthem
21 Wed Constraints in interpretation 2 I Can't Get No Satisfaction, Stones
23 Fri Holiday: Student - -
26 Mon Constraints in resource allocation 2 Paint it Black, Stones
28 Wed Quiz 1 - -
30 Fri Gerald J. Sussman 2rn -
October Day Topic Quiz # Playlist
3 Mon Nearest neighbor learning /Sleep 2 ABC song, Ray Charles et al.
5 Wed Identification tree learning 2 -
7 Fri Edward Boyden: Real neural nets 2srn -
10 Mon Holiday: Columbus day - -
12 Wed Neural net learning 3 19th Nervous Breakdown, Stones
14 Fri Deep neural nets 2srn Ain't no mountain high enough, Marvin Gaye
17 Mon Nancy Kanwisher: What lights up when you think 2srn -
19 Wed Quiz 2 - -
21 Fri Genetic algorithms 3srn Let's spend the night together, Stones
24 Mon Learning in sparse spaces 3/3srn You talk too much, Peas
26 Wed Support-vector machines, [http://ai6034.mit.edu/fall11/images/SVM_= Topics and Playlist 2016 =

Assignment of material to quizzes is tentative, but final assignment will be announced well before each quiz.

srn in an assignment means the material will be in the "spiritual" and "right-now" part of the quiz. See Grading and collaboration policy.

September Day Topic Quiz # Playlist
7 Wed What it's all about This could be the last time, Stones
9 Fri Goal trees and problem solving 1 Start me up, Stones
12 Mon Rule-based expert systems (pp.53-60) 1 It's Only Rock and Roll
14 Wed Lightning review: Basic search 1 Searchin', Beatles
16 Fri Optimal search 1 Route 66, Stones
19 Mon Games 1 Olympic Anthem
21 Wed Constraints in interpretation 2 I Can't Get No Satisfaction, Stones
23 Fri Holiday: Student - -
26 Mon Constraints in resource allocation 2 Paint it Black, Stones
28 Wed Quiz 1 - -
30 Fri Gerald J. Sussman 2rn -
October Day Topic Quiz # Playlist
3 Mon Nearest neighbor learning /Sleep 2 ABC song, Ray Charles et al.
5 Wed Identification tree learning 2 -
7 Fri Edward Boyden: Real neural nets 2srn -
10 Mon Holiday: Columbus day - -
12 Wed Neural net learning 3 19th Nervous Breakdown, Stones
14 Fri Deep neural nets 2srn Ain't no mountain high enough, Marvin Gaye
17 Mon Nancy Kanwisher: What lights up when you think 2srn -
19 Wed Quiz 2 - -
21 Fri Genetic algorithms 3srn Let's spend the night together, Stones
24 Mon Learning in sparse spaces 3/3srn You talk too much, Peas
26 Wed Support-vector machines, SVM (and Boosting) Notes 3 Oh no, not you again, Stones
28 Fri Learning from near misses 3/3srn Miss You, Stones

and_Boosting.pdf SVM (and Boosting) Notes] || 3 || Oh no, not you again, Stones

23 Fri Learning from near misses 3/3srn Miss You, Stones
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