That’s the title of an wry and informative take by Grzegorz Ziemoński in DZone. His definition of Machine Learning is worth memorizing: “Computer doing statistics on Big Data.” If you want to learn some Machine Learning, but don’t know where to start, his “text is for dummies just like us” is recommended.
Along with offering a concise definition of Machine Learning, Ziemoński takes readers through the difference between supervised and unsupervised Machine Learning and he shows us how to use Amazon Machine Learning to make a simple prediction. The key questions for those wishing to do more are: What do you want to predict? What data do you have? What can you do to make it work?
For those still foggy about the relevance of this stuff, substitute Machine Learning for Big Data in this quote by Dan Ariely, founder of The Center for Advanced Hindsight: “Big Data is like teenage sex: everyone talks about it, nobody really knows how to do it, everyone thinks everyone else is doing it, so everyone claims they are doing it.”
Thanks to Grzegorz Ziemoński, we can now get to first base, as it were.Tweet