The Surprising Truth About Machine Learning And AI

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Posted by Binh Pham on 03 Jan 2020 at 03:27

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Unless you have been living under a rock for the past few years, you must have heard of the hype around AI (artificial intelligence) and ML (machine learning). These are among the most popular terms within the technology industry these days. Companies claim to apply AI in their product development, people say they have ML expertise. Hype may come with reality, but AI/ML has no shortage of challenges. 

 

AI is not as easy to sell as it may sound on the media. Most buyers do not understand it and are not prepared for the work and uncertainty involved. Some don’t even understand it enough to know what to ask for. You have to take into consideration that there are trust issues, since it is hard to evaluate if someone can do it. 

 

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Adventures in Machine Learning

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Posted by Anonymous on 26 Jul 2013 at 23:07

Lately I have been thinking about how to recommend movies to movie watchers, purchases to shoppers, artists to music lovers. In general, if you have a bunch of items and a bunch of users, how do you figure out which items to recommend to which users?

There are many solutions to this problem. One extreme solution is to ask a movie connoisseur to learn the movie watcher's tastes, habits, lifestyle, and more. Then the movie connoisseur carefully picks out a few movies he thinks the movie watcher would enjoy. While this solution can produce incredibly personalized results, it is very time-consuming and does not scale. The solution on the opposite end of the spectrum is collaborative filtering. In collaborative filtering, you take all the existing data on which movie watchers like...