AI Class {MOOCs}

Introduction to Artificial Intelligence - Fall 2011 (aka CS221) from October 10 to December 16 2011

Official account @AIclass #aiclass on Twitter, identi.ca, TwitterStreamGraphs, flickr

Finished with 86.7% overall (cf statement of accomplishment).

An average score but more importantly a very motivating introduction, especially with MLClass, to what will be a lifelong learning process (cf Education#InteractiveClasses).

Attended activities

• Preparation

Planned activities

• Overview of AI, Search
• Statistics, Uncertainty, and Bayes networks
• Machine Learning
• Hidden Markov models and Bayes filters
• Markov Decision Processes and Reinforcement Learning
• Adversarial planning (games) and belief space planning (POMDPs)
• Logic and Logical Problem Solving
• Image Processing and Computer Vision
• Robotics and robot motion planning
• Natural Language Processing and Information Retrieval

Back to the Menu

Preparation

• KhanAcademy basis done in MentalExercises
• creation of this page and refactoring (yet still ToRefactor)
• read introduction, summary of each chapter and the conclusion of AIMA

Back to the Menu

Overview of AI, Search (Oct 10)

• Assignment 1 due Oct 16
  • no preparation so far
• other resources
  • own usage of Sphinxsearch#PIMSearchInterface
  • the Seeks project
  • AlgorithmsOfTheIntelligentWeb#Chapter2
  • ApacheProjects#Lucene for indexing, ApacheProjects#Solr for interfacing and ApacheProjects#Nutch for crawling
  • CS221
    • Project 1: Search in Pacman, in Python

Back to the Menu

Statistics, Uncertainty, and Bayes networks (Oct 17)

• Assignment 2 due Oct 23
  • no preparation so far
• other resources
  • little tools set up for PIM
    • to predict friends behaviors via logs, e.g. Irssi#LogsSocialBehaviors
    • word usage, e.g. Seedea:Oimp/Ubiquitousvocabulary#ExperimentalData
  • Wikipedia:Probability#Summary_of_Probabilities
  • CS221
    • Probability Primer, Graphical Representations, Bayes networks
    • Inference in Bayes networks
    • Project 2: Ghostbusters

Back to the Menu

Machine Learning (Oct 24)

• Assignment 3 due Oct 30
  • no preparation so far
• other resources
  • Mathematics#MachineLearning
  • WatchingNotes#MachineLearningCS229
  • http://ml-class.com
  • ApacheProjects#Mahout
  • detro's notes

Back to the Menu

Hidden Markov models and Bayes filters (Oct 31)

• Assignment 4 due Nov 7
  • no preparation so far
• other resources
  • spam filtering e.g. in AlgorithmsOfTheIntelligentWeb#Chapter2

Back to the Menu

Markov Decision Processes and Reinforcement Learning (Nov 7)

• Assignment 5 due Nov 13
  • no preparation so far
• other resources
  • WatchingNotes#MachineLearningCS229
  • WithoutNotesOlderThanOctober09#NonMyopicActiveLearning
  • scikit-learn

Back to the Menu

Adversarial planning (games) and belief space planning (POMDPs) (Nov 14)

• MIDTERM EXAM due Nov 20
  • no preparation so far
• other resources
  • Wikipedia:General Game Playing first discovered in WithoutNotesSeptember10#SystemsWithGeneralIntelligence
  • IRC freenode/#gameai discovered via http://aigamedev.com

Back to the Menu

Logic and Logical Problem Solving (Nov 21)

• Assignment 6 due Nov 27
  • no preparation so far
• other resources
  • cf WithoutNotesJune11#GeneralPrinciplesOfConstraintProgramming and classics solvers like CPlex

Back to the Menu

Image Processing and Computer Vision (Nov 28)

• Assignment 7 due Dec 4
  • no preparation so far
• other resources
  • http://vision.stanford.edu
  • little tools set up for PIM, cf OpenCV
  • see WithoutNotesApril11#AndrewNg for the Bay Area Vision Meeting (BAVM)

Back to the Menu

Robotics and robot motion planning (Dec 5)

• Assignment 8 due Dec 11
  • no preparation so far
• other resources
  • Electronics#Robotics including the classic ROS

Back to the Menu

Natural Language Processing and Information Retrieval (Dec 12)

• FINAL EXAM due Dec 18
  • no preparation so far
• other resources
  • ApacheProjects#UIMA as used with WithoutNotesJanuary11#Watson (aka DeepQA)

Back to the Menu

Overall remarks and conclusions

• meet him
• could be improved by doing that
• see also that other event

Back to the Menu

Other reviews or coverage

• ?

To do

• textbook Artificial Intelligence: A Modern Approach (aka AIMA)
  • by Peter Norvig
    • WithoutNotesFebruary10#ModelsAndTheories
    • WithoutNotesOctober10#WhatsTheInternetDoingToOurBrains
    • WithoutNotesMay11#TheUnreasonableEffectivenessOfData
    • WithoutNotesSeptember11#PastPresentFutureVisionOfAI
  • no notes ArtificialIntelligenceAModernApproach yet
    • Wikipedia:Artificial Intelligence: A Modern Approach
    • note that the book could be converted to a wiki and thus use ImprovingPIM#PIMBasedExercises as it seems the questions will be multiple choices
• Sebastian Thrun
  • watched few talks on robotics and autonomous driving
• http://agi-wiki.org with ##agi on freenode
• Seedea:Seedea/AImatrix for a review of existing systems
• Seedea:Seedea/DATAmatrix as a resource for exercises
• automated gradding
  • knowlabs.com which is handling this course and ML-Class.com with their first product KnowIt
    • consituted by the 2 professors and David M. Stavens also at Stanford AI Lab Computer Science Department
  • http://www.sagrader.com and http://www.ets.org/research/topics/as_nlp as discovered in WithoutNotesSeptember11#AIMakesTheGrade
• UTC classes
  • IA01
  • IA02
  • IA03
  • IA04 (MAS) then tought by Jean-Paul Barthes
    • JASSS discovered first related to WithoutNotesOctober10#InnovationDiffusion then again in TheDarkSideOfCreativity, several articles read since then
    • AGIWiki:BackgroundKnowledge/Multi-AgentSystem
• read books
  • technical
    • IntelligentBio
    • ProgrammingForPeace
    • AlgorithmsOfTheIntelligentWeb
    • ProgrammingCollectiveIntelligence
    • TheSocietyOfMind
  • economical
    • InformationRules
    • TheDarkSideOfGoogle
• community resources
  • http://www.aiqus.com
  • http://www.reddit.com/r/aiclass
    • http://www.reddit.com/r/aiclass/comments/jniil/as_a_web_developer_ive_used_python_and_understand/
  • Quora presence
    • http://www.quora.com/Stanford-AI-Class
    • http://www.quora.com/Peter-Norvig-1
    • http://www.quora.com/What-are-the-core-Linear-Algebra-topics-Id-need-to-complete-Stanfords-online-AI-course
  • http://blinkenshell.org/wiki/stanford-aimldb-classes?action=show&redirect=stanford-aimldb-classes
    • IRC blinkenshell/#stanford-aimldb-classes
  • IRC freenode/#ai-class
  • Bay Area Artificial Intelligence Meetup Group thread on the Online AI course by Thrun/Norvig
  • http://groups.google.com/group/paris-hackerspaces-ia
• in general see Programming
• Berkeley CS 188: Artificial Intelligence
• http://ales.vijolica.net/ai-class/video-library/ transcript with search
• Glenn Yonemitsu's Posts tagged "artificial-intelligence"
• http://code.google.com/p/aima-python/