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andrewjaffe.net
| | easystats.github.io
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| | cgad.ski
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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...
| | labrat.fieldofscience.com
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| Trying to keep both this and my new sciam blog going has been a bit of a strain. I've decided therefore that from now on all my science writ...