Further Reading

Learning about AI

  • Professor John McCarthy’s homepage (link)

  • MIT Technology Review: Teaching Machines to Understand Us (link)

  • History of AI, University of Washington, 2001 (PDF)

  • Perceptron book by Marvin Minsky (link)

  • Marvin Minsky’s Logical vs.Analogical or Symbolic vs. Connectionist or Neat vs. Scruffy article (link)

  • What Marvin Minsky Still Means for AI, an article summarising Marvin Minsky’s life soon after he died in 2016 (link to MIT article)

  • The 4 Deep Learning Breakthroughs You Should Know About, Deep Learning for Non-experts (link)

  • Major Achievements in AI blog 2019 (link)

interested in Learning how to program and analyse Natural Language?

Videos:

  • Coursera Machine Learning by Andrew Ng (link)

  • Deep Learning Course on Coursera by Andy Ng (link)

  • Building Dialogue Systems by Danica Damljanovic (link)

  • Andy Ng on Building a Career in Machine Learning (link to video)

Books:

  • Speech and Language Processing by Dan Jurafsky and James H. Martin (link)

  • Natural Language Processing in Python by Steven Bird (link)

  • A great summary of books to read here

Libraries with great tutorials to learn NLP:

  • Stanford NLP and Chistopher Manning's work

  • GATE (link)

  • OpenNLP (link)

Interesting AI projects:

  • Google Duplex books an appointment for you (link)

  • AlphaGo beats human (link)