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Introduction: How to Interpret AI, ML, NLP, and Lisp (Lecture 1; August 23, 2017)
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Classroom Contents
Fall 2017
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- 1 Introduction: How to Interpret AI, ML, NLP, and Lisp (Lecture 1; August 23, 2017)
- 2 Introduction to Common Lisp (Lecture 2; August 30, 2017)
- 3 Mastering Common Lisp (Lecture 3; September 6, 2017)
- 4 Semantic Spaces (Lecture 4; September 13, 2017)
- 5 Classification (Lecture 5; September 20, 2017)
- 6 Clustering (Lecture 6; September 27, 2017)
- 7 Word Embedding Models (Lecture 7; October 4, 2017)
- 8 Language Models (Lecture 8; October 11, 2017)
- 9 Hidden Markov Model (Lecture 9; October 18, 2017)
- 10 Context-Free Grammars and Parsing (Lecture 10; October 25, 2017)
- 11 November 10, 2016
- 12 Generalized Chart Parsing (Lecture 12; November 15, 2017)
- 13 Wrap-Up and Exam Preparation (Lecture 13; November 22, 2017)
