Pydata Global Big Data Panel

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data science panel open source panel discussion python

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Description

Nowadays we know the social media and tech giants are harvesting tons of data from their users and most of us agree that the capability of these companies to deliver their suggestions and customization for you is driven by big data.

However, this brings a question: Is more data always better? Do more data equal to more accurate model? When do you need big data and when does it start becoming a bad idea? Let's find out in this panel session.

Abstract by Cheuk Ting Ho

• Is more data always better?
• What problem do we have when we do not have “enough data”?
• Does more data lead to a more accurate model?
• When do you need big data and when does it start becoming a bad idea?
• What problem can “having too much data “ have?
• When do we know that we have “enough data”?
• What’s your most entertaining story about having too much (or not enough) data?