stillsut

46 ms·

1. 451.▲
   by stillsut 13y ago

   >>> 42
2. 452.▲
   by stillsut 13y ago

   Not necessarily. Let's apply that to the Herpes Virus known to be risk factor for cervical cancer. There is a greater than 1% you catch the disease. But, the risk you die from it is lower, maybe in 10,000? (Even the people who research
3. 453.▲
   by stillsut 13y ago

   Try a kaggle competition. You can get a real problem (the same one the PhD student is doing) but you get to use whatever tools/framework you want.
4. 454.▲
   by stillsut 13y ago

   Data Science is still approachable through the "Edison"-style: only do as much math as your comfortable with, but keep probing discrepancies between different models. It's more debugging than architect-ing. Evidence: none of
5. 455.▲
   by stillsut 13y ago

   Also, Coursera partnered with Geoffrey Hinton (the big name in Deep Learning right now) to put together a pretty good course: https://www.coursera.org/course/neuralnets
6. 456.▲
   by stillsut 13y ago

   This is a good one, but actually scarier would be facial analysis software. Clearly, the kindness of one eyes, or the prominence of one's chin plays a big role in the results people get (at first) in say a sales job. Imagine if to get