Artificial Intelligence
Archived; click post to view. Excerpt: In the end of September I discovered an amazing data set which is provided by Google! It is called the Google n gram data set. Even thogh the english wikipedia article about ngrams needs some clen up it explains nicely what an ngram is. http://en.wikipedia.org/wiki/N-gram The data set is [...]
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Archived; click post to view. Excerpt: Binary Search http://en.wikipedia.org/wiki/Binary_search_algorithm is a very basic algorithm in computer science. Despite this fact it is also important to understand the fundamental principle behind it. Unfortunately the algorithm is tought so early and the algorithm is so simple that beginning students sometimes have a hard time to understand the [...]
Archived; click post to view. Excerpt: Besides ecommerce one really big Internet business model obviously is the trade or monetarization of data. This Blogpost reminded to write an article about this topic. I think the author points out the most important facts! Services like Facebook / gmail / Youtube and so on are not free. Moneywise [...]
Archived; click post to view. Excerpt: Since my blog post on Eli Pariser’s Ted talk about the filter bubble became quite popular and a lot of people seem to be interested in which 57 signals Google would use to filter search results I decided to extend the list from my article and list the signals [...]
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Archived; click post to view. Excerpt: It is two months now of reading papers since I started my PhD program. Enough time to think about possible research topics. I am more and more interested in search, social networks in general and social news streams in particular. It is obvious that it is becoming more and [...]
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Recently there was a lot of news on the Web about IBM’s natural language processing system Watson. As you might have heard right now Watson is challenging two of the best Jeopardy players in the US. A lot of news magazines compare Watson with Google which is the reason for this article. Even though the algorithms behind Watson and Google are not open source still a lot of estimates and guesses can be made about the algorithms both computer systems use in order to give intelligent answers to the questions people ask them. Based on this guesses I will explain the differences between Google and Watson.
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Collective intelligence is something that particularly on the Internet is very present. Great examples are Wikipedia, Google and most open source projects. Collective intelligence and artificial intellegence is not the same. Future articles about collective intelligence will address, discuss and explain the difference and show how to combine these concepts for maximum benefit.
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