cjf101

9 ms·

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by cjf101 10y ago
That's pretty dead on to how I read HN. Full articles when I am curious about the subject matter, straight to comments when I am more curious about how others view the material. Sometimes the comment threads will prompt me to go back
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by cjf101 10y ago
That is blackly humourous to me. Wow. Thanks for the link. "The researchers found that certain intensive procedures were performed less often on the high-risk patients in the study during meeting dates than outside meeting dates. One
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by cjf101 10y ago
While there may be overvaluation of appearance/social ability, it's likely exaggerated in this particular example. Appearance and social ability in surgical teams are important because surgeons are also leaders and caregivers. The
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by cjf101 10y ago
Those sensors do fail, however. http://globalnews.ca/news/2117570/alberta-oil-spill-when-fai... (2015) Notice how many failure reports are not the sensor, but are due to humans checking up on the pipeline. The co
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by cjf101 10y ago
There's at least two ways to go about learning ML, and I think ideally one should do both. One is to use a high level tool like TensorFlow or Azure ML Studio to experiment with what the tools can do with data. This can get you suffic
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by cjf101 10y ago
I used this recently when I was relearning NN theory (last time I looked at it before 2015 was the late 90's,) and I agree. It's a thorough walkthrough of the math that turned the lightbulbs back on enough for me to write a simpl
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by cjf101 10y ago
Most bakeries use commercial yeast in addition to starter in what they call sourdough. If you haven't already been doing this, you need to ask if there's commercial yeast in their sourdough. You might need to shop around to find