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Using the same old software engineering tools for machine learning engineering creates greater potential for errors.
Non-distributed tools for machine learning are widely available, and are thus more mature for use in projects that do not handle Big Data.
The world's data is growing rapidly, and traditional tools for machine learning are becoming insufficient as we move towards distributed and real-time processing.
The goal of this paper is to facilitate these decisions by providing a comprehensive review of the current state-of-the-art in open source scalable tools for machine learning.
Biewald (whom I've known since college) and Van Pelt, plus former Google engineer Shawn Lewis, have now started a new company called Weights & Biases to build new tools for machine learning developers.
Engineers still use traditional software engineering tools for machine learning engineering, and they don't work: The pipelines that take data to model to result end up built out of scattered, incompatible pieces.
Similar(54)
Tantalum compounds are relatively unimportant commercially, although the carbide TaC is used in cemented-carbide tools for machining hard metals.
Diamond-coated cutting tools are economically attractive alternatives to polycrystalline diamond tools for machining applications.
Circular saws are widespread tools for machining metal, wood or even ceramics.
Al2O3/TiC composites are used as cutting tools for machining gray cast iron and steels.
The microbeading coating method was also implemented on cutting tools for machining where indium was used as the solid lubricant.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com