Episode from the podcastQA Neuro podcasts

Beginning the Journey on Exploring Computational Neuroscience and Machine Learning

Released Wednesday, 4th October 2017

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Beginning the Journey on Exploring Computational Neuroscience and Machine Learning

Beginning the Journey on Exploring Computational Neuroscience and Machine Learning

Wednesday, 4th October 2017

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Throughout human learning & development courses at Georgia State University, a career in QA testing, and programming as a hobby, 'Neuro' is used as an inanimate audience to assist in learning and teaching software deveolopment and testing. This idea is derived from a software engineering practice called 'rubber duck debugging'. According to Wikipedia, "rubber duck debugging is a reference to a story in the book The Pragmatic Programmer in which a programmer would carry around a rubber duck and debug their code by forcing themselves to explain it, line-by-line, to the duck."" The goal is to use 'Neuro' as a teaching tool while working on projects that may assist in the future towards learning computational neuroscience (using Python and R) to be used in correlation with Core Machine Learning for iOS (object oriented modeling in Swift). A handful of tech companies are currently researching 'brain hacking', which is designing programs that provoke neurological responses, rewards based apps to keep people coming back. The idea is that 'Neuro' will drive learning, development, testing, and teaching.

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