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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Om Podcasten

This talk show is about the next big thing in value creation. It is for fund managers and corporate leadership investigating smart digital transformation for their companies, and for service providers, subject matter experts and vendors wanting to broaden their digital skills. Although the show’s focused on value creation in the context of private equity, it’s sector agnostic and can get pretty geeky, digging into IoT, data science (analytics & ML) and other high technology. At a high level, the show is about how to frame the digital investment thesis and how to execute it. Your host, Bruce Sinclair, is an ex-PE operating partner who has written the best-selling books, The Private Equity Digital Operating Partner and IoT Inc, and has certified thousands of professionals with his ICIP program and LinkedIn Learning courses. Season 1 of this show was called, The IoT Inc Business Show.