EPISODE · Sep 12, 2017 · 48 MIN
JSJ 278 Machine Learning with Tyler Renelle
from JavaScript Jabber · host Charles M Wood
Tweet this EpisodeTyler Renelle is a contractor and developer who has worked in various web technologies like Node, Angular, Rails, and much more. He's also build machine learning backends in Python (Flask), Tensorflow, and Neural Networks.The JavaScript Jabber panel dives into Machine Learning with Tyler Renelle. Specifically, they go into what is emerging in machine learning and artificial intelligence and what that means for programmers and programming jobs.This episode dives into:Whether machine learning will replace programming jobsEconomic automationWhich platforms and languages to use to get into machine learningand much, much more...Links:Raspberry PiArduinoHacker NewsNeural Networks (wikipedia)Deep MindShallow AlgorithmsGenetic AlgorithmsCrisper gene editingWixthegrid.ioCodeschoolCodecademyTensorflowKerasMachine Learning GuideAndrew Ng Coursera CoursePythonRJavaTorchPyTorchCaffeScikit learnTensorfireDeepLearn.jsThe Singularity is Near by Ray KurzweilTensorforceSuper Intelligence by Nick BostromPicks:AimeeInclude mediaNodevemberPhone casesAJData SkepticReady Player OneJoeEverybody LiesTylerEx MachinaPhilosophy of Mind: Brains, Consciousness, and Thinking MachinesSpecial Guest: Tyler Renelle. Support this podcast at — https://redcircle.com/javascript-jabber/donationsPrivacy & Opt-Out: https://redcircle.com/privacyBecome a supporter of this podcast: https://www.spreaker.com/podcast/javascript-jabber--6102064/support.
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JSJ 278 Machine Learning with Tyler Renelle
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