Alison Bolen

12 Machine Learning Articles to Catch You Up on the Latest Trend

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kq4ym
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Re: Machine learning impacts
kq4ym   3/24/2017 10:25:44 AM
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Yes, the first source was was a good explanation and emphasized it's still a collaboration between machine and human. Getting goat pictures confused with dogs, and tulips with balloons won't due but enter the human thought process and the fine tuning of the machine learning becomes workable.

impactnow
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Re: Machine learning impacts
impactnow   3/20/2017 2:02:15 PM
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Terry true, but the analysis is only as good as the data and the assumptions used. From the post-mortems, I have read the data used was old and based on previous behaviors, not current sentiment and the assumptions were also built on old data. As we always said garbage in and garbage out....

T Sweeney
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Re: Machine learning impacts
T Sweeney   3/20/2017 10:57:09 AM
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Seems like advances in machine learning could be used for improved polling and predicting election results more accurately. Even though it's been more than four months, the fact that so much data science still couldn't accurately predict the presidential election outcome is both hilarious and frustrating.

T Sweeney
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Re: Machine learning impacts
T Sweeney   3/20/2017 10:53:49 AM
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Good points about linear/non-linear algorithms, Seth. Depending on the application or project, seems like it would be smart to cover both bases for maximum benefit, no?

T Sweeney
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Re: Resource
T Sweeney   3/20/2017 10:52:25 AM
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Yes, good point about compements, Michelle.

Now, if only Alison had explained (or pointed us to an article) the difference between machine learning and AI, which I'm noticing people use interchangeably. An expert recently told me that AI is a subset of machine learning and more often used for machine-to-human interactions. 

Michelle
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Michelle   3/19/2017 8:06:29 PM
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This a great resource for machine learning. IoT and machine learning go together like PB&J.

tomsg
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Re: Machine learning impacts
tomsg   3/16/2017 1:32:16 PM
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I agree. I really liked this article- it changed the way I view machine learning.

SethBreedlove
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Re: Machine learning impacts
SethBreedlove   3/15/2017 4:42:10 PM
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Per the first article listed, it's interesting to learn that machine learning can be a black box for scientist and they may not totally comprehend the algorithms the machines are coming up with.  What really stands out is that the machine learning algorithims may not be linear or appear logical.    I guess that makes them more like people. 

impactnow
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Machine learning impacts
impactnow   3/15/2017 12:16:30 AM
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So exciting to see all the critical areas where machine learning is poised to make an impact. Where do you see the first applications becoming most prevalent and visible to the general public?

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