The world of AI has many components. Machine Learning is one such component. There are 12 terms to know to understand Machine Learning. You will find a good explanation of these in this breakout. Its all part of a big game that is now in play wherever you surf, take part of ordering stuff or use your smart devices. Time to learn.
This article has an explanation of terms we use and see all over. Science and Data terms that we often get asked to explain. Now you have a resource for these explanations. The best part is that if they relate to others there is a link. Not only that but other topics in the AI world. All nicely grouped.
The new devices like Alexa or Siri are listening when you talk. And some of that talk contains a lot of valuable information to many. When you ask for that pizza place, favorite movie review or just how something is there is an implied meaning. There is a desire which can be translated to mean many things. Its can also categorize you in various strata. This strata then can be sold to marketers trying to sell you that new couch, trade in that car or go on that trip to Hawaii. Its all fair game, and raises the question again, ‘are we simply sharing too much about ourselves on a regular basis with these machines/bots’?
It should be pointed that we do it willingly and freely. And with the new AI and machine learning its not hard to figure out that if you shop toy stores you probably have kids, and if you ask about kids’ meals or clothing that you can tell after a while an approximate age as well as sex of child. Now some of us may not care, but take a notice of your ads on Facebook or Google+ to see what’s being offered next time you are on. Do those ads relate to anything you’ve done in the past week or asked about?
The article goes more in depth on some of these and other considerations.
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The big companies all are looking at getting AI into their systems. Whether its to provide it to their customers to add it to their operations. Its aa topic that many places have been working on for years, in some cases decades. Now that its become a focus these places have a home for their knowledge. Here’s a few places that have cashed in on their work.