{"id":30912,"date":"2022-11-16T06:00:00","date_gmt":"2022-11-16T14:00:00","guid":{"rendered":"https:\/\/insidebigdata.com\/?p=30912"},"modified":"2022-11-14T19:03:01","modified_gmt":"2022-11-15T03:03:01","slug":"comet-introduces-kangas-an-open-source-smart-data-exploration-analysis-and-model-debugging-tool-for-machine-learning","status":"publish","type":"post","link":"https:\/\/insidebigdata.com\/2022\/11\/16\/comet-introduces-kangas-an-open-source-smart-data-exploration-analysis-and-model-debugging-tool-for-machine-learning\/","title":{"rendered":"Comet Introduces Kangas, An Open Source\u00a0Smart Data Exploration, Analysis and Model Debugging Tool for Machine Learning\u00a0"},"content":{"rendered":"
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Comet<\/a>, provider of a leading MLOps platform for machine learning (ML) teams from startup to enterprise, announced a bold new product:\u00a0Kangas<\/em>. Open sourced to democratize large scale visual dataset exploration and analysis for the computer vision and machine learning community, Kangas helps users understand and debug their data in a new and highly intuitive way. With Kangas, visualizations are generated in real time; enabling ML practitioners to group, sort, filter, query and interpret their structured and unstructured data to derive meaningful information and accelerate model development.<\/p>\n\n\n\n

Data scientists often need to analyze large scale datasets both during the data preparation stage and model training, which can be overwhelming and time-consuming, especially when working on large scale datasets. Kangas makes it possible to intuitively explore, debug and analyze data in real time to quickly gain insights, leading to better, faster decisions. With Kangas, users are able to transform datasets of any scale into clear visualizations. <\/p>\n\n\n\n

\u201cA key component of data-centric Machine Learning is being able to understand how your training data impacts model results and where your model predictions are wrong,\u201d\u00a0said Gideon\u00a0Mendels, CEO and co-founder of Comet. \u201cKangas accomplishes both of these goals and dramatically improves the experience for ML practitioners.\u201d<\/p><\/blockquote>\n\n\n\n

Putting Large Scale Machine Learning Dataset Analysis at Your Fingertips<\/strong><\/p>\n\n\n\n

Developed with the unique needs of ML practitioners in mind, Kangas is a scalable, dynamic and interoperable tool that allows for the discovery of patterns buried deep within oceans of datasets. With Kangas, data scientists can query their large-scale datasets in a manner that is natural to their problem, allowing them to interact and engage with their data in novel ways. <\/p>\n\n\n\n

Noteworthy benefits of Kangas include:<\/p>\n\n\n\n