Sat.Feb 04, 2017 - Fri.Feb 10, 2017

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Keynote Presentation from January 19, 2017

DSI Analytics

The video from my recent keynote on the analytic aspect of Conversion Rate Optimization is now available online. This particular keynote was geared towards a primarily non-technical audience. The post Keynote Presentation from January 19, 2017 appeared first on DSI Analytics.

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Fat Zebras

Darkhorse

When presenting data tables, we recommend stripping away backgrounds and grids and using alignment, formatting, and whitespace to guide the eye along the rows and columns of the data. But what if you have lots of rows with many columns that stretch across a screen or page? Or perhaps you have large gaps between fields because of varying text lengths.

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Machine Learning Algorithms for Data Scientists

MLWhiz

As a data scientist I believe that a lot of work has to be done before Classification/Regression/Clustering methods are applied to the data you get. The data which may be messy, unwieldy and big. So here are the list of algorithms that helps a data scientist to make better models using the data they have: 1. Sampling Algorithms. In case you want to work with a sample of data.