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| | deepai.org
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| | Bayesian inference refers to the application of Bayes' Theorem in determining the updated probability of a hypothesis given new information.
| | aurimas.eu
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| | dustintran.com
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| | One aspect I always enjoy about machine learning is that questions often go back to the basics. The field essentially goes into an existential crisis every dozen years-rethinking our tools and asking foundational questions such as "why neural networks" or "why generative models".1 This was a theme in my conversations during NIPS 2016 last week, where a frequent topic was on the advantages of a Bayesian perspective to machine learning. Not surprisingly, this appeared as a big discussion point during the p...
| | inventingsituations.net
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| Suppose you're buildinga widget that performs some simple action, which ends in either success or failure. You decide it needs to succeed 75% of the time before you're willing to release it. You run tentests, and seethat it succeeds exactly 8times. So you ask yourself, is that really good enough? Do you believe the test...