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Engineering
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Electrical Engineering and Computer Science (M-I-T)
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Artificial Intelligence (Fall 2010) (M-I-T)
Artificial Intelligence (Fall 2010) (M-I-T)
(23 Lectures Available)
S#
Lecture
Course
Institute
Instructor
Discipline
1
Lecture 10: Introduction to Learning, Nearest Neighbors (M-I-T)
Artificial Intelligence (Fall 2010) (M-I-T)
MIT
Prof. Patrick Henry Winston
Applied Sciences
2
Lecture 11: Learning: Identification Trees, Disorder (M-I-T)
Artificial Intelligence (Fall 2010) (M-I-T)
MIT
Prof. Patrick Henry Winston
Applied Sciences
3
Lecture 12A: Neural Nets (M-I-T)
Artificial Intelligence (Fall 2010) (M-I-T)
MIT
Prof. Patrick Henry Winston
Applied Sciences
4
Lecture 12B: Deep Neural Nets (M-I-T)
Artificial Intelligence (Fall 2010) (M-I-T)
MIT
Prof. Patrick Henry Winston
Applied Sciences
5
Lecture 13: Learning: Genetic Algorithms (M-I-T)
Artificial Intelligence (Fall 2010) (M-I-T)
MIT
Prof. Patrick Henry Winston
Applied Sciences
6
Lecture 14: Learning: Sparse Spaces, Phonology (M-I-T)
Artificial Intelligence (Fall 2010) (M-I-T)
MIT
Prof. Patrick Henry Winston
Applied Sciences
7
Lecture 15: Learning: Near Misses, Felicity Conditions (M-I-T)
Artificial Intelligence (Fall 2010) (M-I-T)
MIT
Prof. Patrick Henry Winston
Applied Sciences
8
Lecture 16: Learning: Support Vector Machines (M-I-T)
Artificial Intelligence (Fall 2010) (M-I-T)
MIT
Prof. Patrick Henry Winston
Applied Sciences
9
Lecture 17: Learning: Boosting (M-I-T)
Artificial Intelligence (Fall 2010) (M-I-T)
MIT
Prof. Patrick Henry Winston
Applied Sciences
10
Lecture 18: Representations: Classes, Trajectories, Transitions (M-I-T)
Artificial Intelligence (Fall 2010) (M-I-T)
MIT
Prof. Patrick Henry Winston
Applied Sciences
11
Lecture 19: Architectures: GPS, SOAR, Subsumption, Society of Mind (M-I-T)
Artificial Intelligence (Fall 2010) (M-I-T)
MIT
Prof. Patrick Henry Winston
Applied Sciences
12
Lecture 1: Introduction and Scope (M-I-T)
Artificial Intelligence (Fall 2010) (M-I-T)
MIT
Prof. Patrick Henry Winston
Applied Sciences
13
Lecture 21: Probabilistic Inference I (M-I-T)
Artificial Intelligence (Fall 2010) (M-I-T)
MIT
Prof. Patrick Henry Winston
Applied Sciences
14
Lecture 22: Probabilistic Inference II (M-I-T)
Artificial Intelligence (Fall 2010) (M-I-T)
MIT
Prof. Patrick Henry Winston
Applied Sciences
15
Lecture 23: Model Merging, Cross-Modal Coupling, Course Summary (M-I-T)
Artificial Intelligence (Fall 2010) (M-I-T)
MIT
Prof. Patrick Henry Winston
Applied Sciences
16
Lecture 2: Reasoning: Goal Trees and Problem Solving (M-I-T)
Artificial Intelligence (Fall 2010) (M-I-T)
MIT
Prof. Patrick Henry Winston
Applied Sciences
17
Lecture 3: Reasoning: Goal Trees and Rule-Based Expert Systems (M-I-T)
Artificial Intelligence (Fall 2010) (M-I-T)
MIT
Prof. Patrick Henry Winston
Applied Sciences
18
Lecture 4: Search: Depth-First, Hill Climbing, Beam (M-I-T)
Artificial Intelligence (Fall 2010) (M-I-T)
MIT
Prof. Patrick Henry Winston
Applied Sciences
19
Lecture 5: Search: Optimal, Branch and Bound, A* (M-I-T)
Artificial Intelligence (Fall 2010) (M-I-T)
MIT
Prof. Patrick Henry Winston
Applied Sciences
20
Lecture 6: Search: Games, Minimax, and Alpha-Beta (M-I-T)
Artificial Intelligence (Fall 2010) (M-I-T)
MIT
Prof. Patrick Henry Winston
Applied Sciences
21
Lecture 7: Constraints: Interpreting Line Drawings (M-I-T)
Artificial Intelligence (Fall 2010) (M-I-T)
MIT
Prof. Patrick Henry Winston
Applied Sciences
22
Lecture 8: Constraints: Search, Domain Reduction (M-I-T)
Artificial Intelligence (Fall 2010) (M-I-T)
MIT
Prof. Patrick Henry Winston
Applied Sciences
23
Lecture 9: Constraints: Visual Object Recognition (M-I-T)
Artificial Intelligence (Fall 2010) (M-I-T)
MIT
Prof. Patrick Henry Winston
Applied Sciences
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Earth, Atmospheric, and Planetary Sciences
Energy
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Economics
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