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Prepare Your Machine Learning Data Four Times Faster

On average, eight out of every ten hours spent on analytics and data science projects goes into discovering, cleaning, and shaping data instead of using that data to find actionable insights. 

Discover how Paxata Self-Service Data Prep for AWS delivers a visual and intuitive data preparation experience for data analysts, data scientists, and business subject matter experts to help them explore, profile, and transform data for analytics. You’ll hear how Paxata’s built-in machine learning algorithms identify joins, overlaps, and anomalies that clean and match data to accelerate data preparation for analytics projects.

View this on-demand webcast to learn:

  • Reduce data preparation from 80% of a project’s time to 20%.
  • Accelerate data science and analytics projects.
  • Leverage built-in machine learning algorithms to clean and shape data for your data science initiatives.
Previous Flipbook
6 Steps to Master Data Preparation for Machine Learning
6 Steps to Master Data Preparation for Machine Learning

Learn six critical steps that will accelerate your data prep cycles to give you more time for testing, tuni...

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