General AI
Artificial Intelligence Wiki – a good place to start to understand what AI encompasses and its different areas.
Journal of Machine Learning Research – Amazingly complex scientific papers of AI algorithms. Not for light reading.
Machine Learning Open Source Software
Areas of interest for me:
Reinforcement Learning – concerned with how an agent ought to take actions in an environment so as to maximize some notion of cumulative reward.
Data Mining
Data Mining – good starting point for learning about data mining
Text Mining
Basically Text Mining is data mining on unstructured data like documents, web pages, etc. instead of a database.
Natural Language Processing – Imagine a machine being able to scour the internet and actually extract knowledge about what it read.
Text Mining – an area of Natural Language Processing, has many commercial uses even today. i.e. Bing
Semantic Web – a machine readable version of the web.
DBpedia – An effort to translate Wikipedia into machine understandable format to facilitate complex queries and meanings of words, not just matches.
Freebase – Similar to DBpedia, but it is hand crafted. DBpedia has lots of links to it as well. A database of “bar codes” for all entities on the web. Aliasing… Also powers Bing
What is Text Mining – describes how text mining is more complex than data mining since it involves natural language processing.
Carrot2 – text and search results clustering framework. Very cool way to browse search results and get to what you are looking for
Nice topic of artificial intelligence. You explained in the short and brief but necessary information. I like the way of explanation that is in simple words or language.Thanks.
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