technology-talk related contents
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charliegerard / creative-technology-talk
technology-talk, Slides from a talk given about experimenting with creative technologies
From user charliegerard
Home Page: http://charliegerard.github.io/creative-technology-talk/
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davidaayers / ea-talk
technology-talk, A conference talk for Enterprise Architects on how to deal with our changing technology world
From user davidaayers
Home Page: http://iamagiantnerd.com
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iarna / talking-up-talked-down-tech
technology-talk, Conference talk: Talking up talked down technology
From user iarna
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iq-me / glanzkinder.github.io
technology-talk, Glanzkinder talking about technology
From organization iq-me
Home Page: https://glanzkinder.github.io/
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jdan / prolog-talk
technology-talk, Slides for a Prolog talk I gave as part of Stevens Institute of Technology UPE's "Tech Talks" event - Fall 2013
From user jdan
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jensfischer1515 / frontline-elk
technology-talk, Search Technology Meetup talk about ELK stack at Frontline
From user jensfischer1515
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jolanaklin / website-pcthings
technology-talk, A website to talk about computer and technology things
From user jolanaklin
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littlepea / business-technology-talk
technology-talk, Traditional Business Transformation with Technology (Presentation)
From user littlepea
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lucassouto / lucassouto.github.io
technology-talk, My personal blog to talk about technology and other cool things
From user lucassouto
Home Page: https://lucassouto.github.io
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mehra-deepak / plant-disease-detection
technology-talk, Plant Disease Detection is one of the mind-boggling issues when we talk about using Technology in Agriculture. Although researches have been done to detect whether a plant is healthy or diseased using Deep Learning and with the help of Neural Network, new techniques are still being discovered. For Fewer Data Classical Machine Learning Models are said to outstand given the data is pre-processed well. On the same theory here is my approach for Detecting whether a plant leaf is healthy or unhealthy by utilizing the classical Machine Learning Models, Pre-processing the Image Data. The data was fed to 7 Machine Learning Models with 10 fold cross-validation out of which Random Forest Classifier outperformed all the other models giving an accuracy of 97% on the test set.
From user mehra-deepak
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orgtestcodacy11krepos110mb / repo-1005-technology-talk
technology-talk, null
From organization orgtestcodacy11krepos110mb
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rachenravichandran / tongue_talk_technology
technology-talk, Project thesis - An Assistive Technology for speech impaired
From user rachenravichandran
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rghosh9 / technology-talks
technology-talk, Oracle Cloud Infrastructure Technical Talks
From user rghosh9
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seantallen / pony-how-i-learned-to-stop-worrying
technology-talk, Materials for my talk "Pony: How I learned to stop worrying and embrace an unproven technology"
From user seantallen
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siusaicheong / deep-learning-and-translation-technology-talk
technology-talk, null
From user siusaicheong
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wdoug / typescript-graphql-and-hooks
technology-talk, A demo repo for a talk on putting these technologies together
From user wdoug
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