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	Podcast:		voiceofthedba's podcast
	Episode:		Machine Learning Challenges
	Category:		Technology
	Duration:		00:03:04
	Publish Date:		2018-04-16 20:00:00
	Description:		If you know someone well, you may think that you can predict what they'll do in a situation. Those that know me might think that if I go to New York, I'll make time to run in Central Park. That's a good bet, and the last 7 or 8 times I've gone there to speak, that's what I've done. However, that's a very small data set, and you might not want to attach a high level of confidence to that prediction. There are certainly times that I've gone to New York and not run in Central Park. Machine Learning (ML) is a field that tries to make predictions about some data, based on previous known actions or results. By inferring relationships between lots of data and known actions, the ML model can guess what might happen with future data inputs. Lots of companies and fields are experimenting with ML techniques, with some of them working quite well. Others aren't faring as well, and there is a lot of research underway to better understand the entire field. One possible explanation is emergence, which is discussed in this piece. Read the rest of Machine Learning Challenges
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