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| | www.depthfirstlearning.com
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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...
| | 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.
| | blog.pragmaticengineer.com
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| This is a collection of software engineering and engineering management books that I have read and would recommend to others. See also my list of 100 tech book recommendations for software engineers, EMs and PMs. Note that none of the below links are affiliate links or sponsored. See my ethics