Dive into a comprehensive lecture series on Artificial Intelligence, Machine Learning, Natural Language Processing, and Lisp programming. Explore key concepts through 13 recorded lectures, starting with an introduction to interpreting AI, ML, NLP, and Lisp, and progressing through topics such as Common Lisp mastery, semantic spaces, classification, clustering, word embedding models, language models, Hidden Markov Models, context-free grammars, parsing, and generalized chart parsing. Conclude with a wrap-up session and exam preparation guidance. Gain valuable insights and practical knowledge over 18 hours of in-depth content from the University of Oslo's INF4820 course.
Overview
Syllabus
Introduction: How to Interpret AI, ML, NLP, and Lisp (Lecture 1; August 23, 2017)
Introduction to Common Lisp (Lecture 2; August 30, 2017)
Mastering Common Lisp (Lecture 3; September 6, 2017)
Semantic Spaces (Lecture 4; September 13, 2017)
Classification (Lecture 5; September 20, 2017)
Clustering (Lecture 6; September 27, 2017)
Word Embedding Models (Lecture 7; October 4, 2017)
Language Models (Lecture 8; October 11, 2017)
Hidden Markov Model (Lecture 9; October 18, 2017)
Context-Free Grammars and Parsing (Lecture 10; October 25, 2017)
November 10, 2016
Generalized Chart Parsing (Lecture 12; November 15, 2017)
Wrap-Up and Exam Preparation (Lecture 13; November 22, 2017)
Taught by
INF4820
