Wrangling Data from the Data Marketplace

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One of data science’s dirty little secrets is the time spent data wrangling, that is accessing the data and then transforming it into a form compatible with your data tools and chosen analytical and learning models. Most agree this can take a full 75-80% of data science time. In this episode of the IoT Inc Business Show, I speak with Adam Mayer about data access and form when shopping at your local datamart.

Read the rest of the show analysis notes including the transcripts at: http://bit.ly/IoTPodcast115notes

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