https://insideainews.com/tag/darwin/ Illuminating AI's Frontiers: Your Go-To News Destination. Wed, 19 Oct 2022 15:30:57 +0000 en-US hourly 1 https://wordpress.org/?v=6.6.1 https://insideainews.com/wp-content/uploads/2024/06/iain-favicon.png https://insideainews.com/tag/darwin/ 32 32 136462205 https://insideainews.com/2019/06/27/machine-learning-predefined-recipes/ https://insideainews.com/2019/06/27/machine-learning-predefined-recipes/#respond Thu, 27 Jun 2019 13:30:50 +0000 https://insidebigdata.com/?p=22669 The next evolution in human intelligence is automating the creation of machine learning models to not follow predefined formulas, but rather adapt and evolve according to the problem’s data. While machine learning has enabled massive advancements across industries, it requires significant development and maintenance efforts from data science teams. Enter Darwin, a machine learning tool that automates the building and deployment of models at scale. ]]> https://insideainews.com/2019/06/27/machine-learning-predefined-recipes/feed/ 0 22669 https://insideainews.com/2019/05/30/darwin-machine-learning-platform/ https://insideainews.com/2019/05/30/darwin-machine-learning-platform/#comments Thu, 30 May 2019 13:30:55 +0000 https://insidebigdata.com/?p=22644 As machine learning technology becomes more widely available on an enterprise scale, differentiating and studying which platform can be best for your business can be difficult. A new white paper from SparkCognition explores one of the solutions on the market that works to accelerate data science at scale. Its Darwin machine learning platform is designed to automate the building and deployment of models. ]]> https://insideainews.com/2019/05/30/darwin-machine-learning-platform/feed/ 1 22644 https://insideainews.com/white-paper/darwin-efficacy-report-automation/ https://insideainews.com/white-paper/darwin-efficacy-report-automation/#respond Mon, 13 May 2019 16:06:26 +0000 https://insidebigdata.com/?post_type=wpdmpro&p=22609 Darwin, a machine learning platform, accelerates data science at scale by automating the building and deployment of models. It provides a productive environment that empowers data scientist with a broad spectrum of experience to quickly prototype use cases and develop, tune, and implement machine learning applications in less time. Download the latest white paper from SparkCognition that compares how Darwin performs against other platforms in the market on the same datasets.]]> 0 22609