Security News > 2022 > November > Open source tool puts machine learning dataset analysis at data scientists’ fingertips

An open-source smart data exploration, analysis and model debugging tool for machine learning.

Data scientists often need to analyze datasets both during the data preparation stage and model training, which can be overwhelming and time-consuming, especially when working on large-scale datasets.

The tool makes it possible to intuitively explore, debug and analyze data in real-time to quickly gain insights, leading to better, faster decisions.

"Machine learning will have a profound impact on every sector, and our goal is to provide powerful tools that deliver true value to the user. Kangas specifically applies Comet's deep experience in model debugging to analyze your data in new ways. Now the entire ML community can participate in pushing boundaries forward, particularly in terms of debugging, analysis and exploration of training data. There is a lot of interesting work being done, and we believe that Kangas will become an indispensable part in driving the future of ML," Gideon Mendels, CEO of Comet, told Help Net Security.

It ingests data in a simple format that makes it easy to work with whatever tooling data scientists already use.

"Kangas is a continuation of all of our efforts, and we couldn't wait to get its capabilities into the hands of as many data scientists, data engineers and ML engineers as possible. We believe by open sourcing it, Comet can help teams get the most out of their ML projects in ways that have not been possible previously."

News URL

https://www.helpnetsecurity.com/2022/11/17/kangas-open-source-tool-machine-learning/