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Vidora Launches Comprehensive Machine Learning Feature Engineering Solution
  • USA - English

Automate, Build, and Share Engineered Features to Maximize Performance of Machine Learning Models


News provided by

VIDORA

Jul 10, 2019, 08:00 ET

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SAN FRANCISCO, July 10, 2019 /PRNewswire-PRWeb/ -- Vidora, the leader in end-to-end machine learning pipelines, today announced the ability for anyone in a business to customize machine learning pipelines. Cortex, already automates the creation of machine learning pipelines from raw data including automated feature cleaning, feature engineering, and model selection. Now Vidora expands the abilities of Cortex to enable businesses to customize and share feature engineering techniques and produce the highest quality machine learning pipelines.

Feature engineering is one of the most difficult and subjective areas of machine learning, yet also one of the most important for generating strong model performance. Cortex's end-to-end machine learning automation platform automates feature engineering and can generate hundreds of features automatically for any given machine learning model. Cortex users now have the ability to expand and customize the set of automatically generated features within a simple UI.

"Our customers often have unique knowledge and insights into their business which can positively impact the performance of their machine learning model," said Michael Firn, Product Manager at Vidora. "By combining automation with custom business knowledge we can enable our partners to build the highest quality machine learning experiences."

Examples of how custom feature engineering can be used include augmenting predictive customer churn pipelines. For most churn prediction problems Cortex generates hundreds of features automatically. Businesses can now augment these automatically generated features with features reflective of unique business insights. Cortex provides information on the performance of custom features and these custom features can be shared within their business across multiple machine learning pipelines.

"Feature engineering has been a black art in machine learning for too long. In conjunction with the launch of custom feature engineering, we are really excited to provide a centralized library of features for our partners to share best practices around feature engineering," added Alex Holub CEO of Vidora. "There aren't really any existing resources to share best practices and ideas for feature engineering and we want to provide that to the broader Machine Learning community."

Custom feature engineering is available beginning today in all Cortex accounts.

Learn More About Cortex
Cortex automates the entire Machine Learning pipeline from raw data including feature cleaning, feature engineering, and model selection. By automating the hardest parts of the machine learning, Cortex provides a platform which allows anyone to leverage machine learning. Learn more about Cortex by emailing info(at)vidora.com.

About Vidora
Vidora makes machine learning simple, easy to use, and intuitive by automating the most complex technical challenges of the machine learning pipeline including feature cleaning and feature engineering. Our Self-Service Machine Learning platform, Cortex, is leveraged by some of the largest global brands like Walmart, News Corp, and Discovery.

SOURCE VIDORA

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