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Showing posts from March, 2020
Machine Learning Libraries in Go Language
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Go , an open-source language by Google was initially created by a group of engineers who were frustrated with C++. Ever since their creation, the language has gotten traction for its simplicity. It ranked highly in the programming popularity indexes of Redmonk & TiOBE. Some of the companies & use cases for Go Include : Google, for many projects, notably including download server dl.google.com Dropbox, migrated some of their critical components from Python to Go Cloudflare, for their delta-coding proxy Railgun, their distributed DNS service, as well as tools for cryptography, logging, stream processing, and accessing SPDY sites SoundCloud, for "dozens of systems" The BBC, in some games and internal projects Novartis, for an internal inventory system Splice, for the entire backend (API and parsers) of their online music collaboration platform Cloud Foundry, a platform as a service CoreOS, a Linux-based operating system th...
Predictive Analytics Path to Mainstream Adoption
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Hold on to your hats data scientists, you're in for another wild ride. A few months ago, our beloved field of predictive analytics was taken down a peg by the 2017 Hype Cycle for Analytics and Business Intelligence. In the latest report, predictive analytics moved from the “Peak of Inflated Expectations” to the “Trough of Disillusionment”. Don't despair, this is a good thing! The transition means that the silver bullet seekers are likely moving on to the next craze and the technology is moving one step closer to long term productive use. Gartner estimates approximately 2-5 years to mainstream adoption. PHASES Outlined below from Wikipedia, the phases of the hype cycle include: Technology Trigger - A potential technology breakthrough and kicks things off. Early proof-of-concept stories and media interest trigger significant publicity. Often no usable products exist and commercial viability is unproven. ...