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Automated machine learning software accelerates data science

Automated machine learning software accelerates data science

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By Rich Pell



Auto Model is a new addition to the company’s RapidMiner Studio data science software platform, which provides an integrated environment for data preparation, machine learning, deep learning, text mining, and predictive analytics. Auto Model, says the company, “accelerates everything data scientists do when building machine learning models.”

“Automated machine learning promised data scientists a better, faster way to build models, but the reality never matched the hype,” says Dr. Ingo Mierswa, founder and president of RapidMiner. “Today that changes with the release of RapidMiner Auto Model.”

“We built Auto Model on top of RapidMiner Studio to improve the productivity of data scientists without hiding the ability to understand how and why a model works,” says Mierswa. “As data scientists need to tune or tweak models, they have the full power of the RapidMiner Studio visual workflow designer at their disposal.”

RapidMiner Auto Model uses automated machine learning to speed the data science lifecycle. It speeds data prep by analyzing data to identify common quality problems, and automates predictive modeling by suggesting the best machine learning techniques and then generating optimized, cross-validated predictive models.

Auto Model highlights which features have the greatest impact on the desired business objective, highlighting the most important influence factors and correlations. Built in visualizations and an interactive model simulator let users quickly explore the model to see how it performs under a variety of conditions.

In addition to Auto Model, RapidMiner 8.1’s other new features include support for the MapR Converged Data Platform, global search, and improved performance. A introductory webinar on RapidMiner Auto Model will be broadcast on February 21.

RapidMiner

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