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Data Wrangling meets Machine Learning

by on June 28, 2017

Imagine a world, where a business expert can quickly generate actionable insights starting from raw data and ending up with powerful predictive models.

To avoid Garbage-in-Garbage-out situations, transformation and mapping of raw data into Machine Learning-ready data must be done properly. Data wrangling is a key process that enables Machine Learning to make a big impact. Filtering, joining, cleansing, stacking are necessary steps to get your data Machine Learning-ready. Lowering the barriers for non-experts to work with data autonomously, increasing the productivity of experts and offering a beautifully designed, easy to use platform. BigML and Trifacta both share key common values in their respective fields.

These two disruptive forces of the analytics industry are coming together to host a FREE, joint webinar on July 6, 2017 at 09:00 AM PDT (Portland, Oregon. GMT -07:00) / 06:00 PM CEST (Valencia, Spain. GMT +02:00).

Within 30 minutes both companies are going to demonstrate how seamlessly their platforms fit together in turning raw data into real-life predictive use cases. You’ll witness the interplay of two leading analytics platforms devoted to user friendliness, simplicity and beautiful design as Victor Coustenoble from Trifacta and Poul Petersen from BigML will demo how they use BigML and Trifacta Wrangler tools to solve a loan risk analysis use case.

Please save the date and reserve your spot today, space is limited!

From → Business, Webinar

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