Artificially intelligent swag from the AI group at HackMcGill HackNights.
Every Tuesday night in McGill TR3070 from 7PM onwards. Over the year we will cover stuff like:
- Machine learning
- Neural Networks
- NLP
- MapReduce/Hadoop
- General AI concepts
- Game theory
- Applications of this stuff
In python and (maybe) scala.
##overview
- October 1: Document classification using python, sklearn and naive bayes using a sample dataset pulled from hackerrank.com
- October 8: Using oct1 in real life. Scraping news websites and classifying their articles our way in python. We all worked on a part of the scraper. Next week we're going to talk about how we put it together.
- October 15: Putting the scraper together. Testing classification. Improvements on this? Additional resources, and "how do we make this more intelligent?" -> intro to NLP (maybe if we have time).
##textbooks / book resources
- Machine Learning in Action
- Bayesian Reasoning and Machine Learning by David Barber (most recent draft: http://web4.cs.ucl.ac.uk/staff/D.Barber/textbook/031013.pdf)
- Neural Networks: A Comprehensive Foundation by Simon Haykin
- Artificial Intelligence: A Modern Approach
##hone your skills
##libraries for artificial intelligence
- http://scikit-learn.org/stable/ (python machine learning library)
- http://nltk.org/ (NLP library in python)