Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

YouTube

Fall 2017

via YouTube

Start learning Write review
Unihackers Ad

Launch Your Cybersecurity Career in 6 Months

Learn More → Datacamp Ad

AI Engineer - Learn how to integrate AI into software applications

Learn More →

Overview

Coursera Flash Sale
40% Off Coursera Plus for 3 Months!
Grab it
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.

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

Reviews

5.0 rating, based on 1 Class Central review

Start your review of Fall 2017

  • Profile image for NEETHU KURIAKOSE
    NEETHU KURIAKOSE
    The AI online course offers a comprehensive introduction to artificial intelligence, covering key topics such as machine learning, neural networks, and data processing. The lessons are well-structured and easy to follow, making complex concepts accessible to beginners. Interactive quizzes and practical assignments reinforce learning and encourage hands-on experience. The instructors are knowledgeable and explain topics clearly, with real-world examples that help relate theory to practice. While the course could benefit from more advanced modules, it provides a solid foundation for anyone interested in AI. Overall, it's a valuable and engaging course for students, professionals, or enthusiasts exploring AI for the first time.

Start learning

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Sign up for free
Someone learning on their laptop while sitting on the floor.