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    Day 1


Structured data only accounts for about 20 percent of stored information. The rest is unstructured data – includes texts, blogs, documents, photos, videos, etc. In this presentation, I will talk about *analytical methods and tools, to analyze unstructured data, *that data scientists may use to gather and analyze information that doesn’t have a pre-defined model or structure. Traditional analytical processes are not adequate to fully understand unstructured data an as such, I want to dwell on some of the newer methods such as semantic analysis and natural language processing to analyze unstructured data. I will talk about the best practices that has worked for me in my quest to untangle unstructured data as well as do shallow dives into Recurrent Neural Networks (RNN) and Convolutional Neural Networks and how deep learning is helping at identifying patterns in unstructured data.


Associated Speakers:

Nav Kesher

Head of Data Sciences, Facebook Marketplace Experience


Associated Talks:

12:45PM - Day 1

View Panel: Building an Effective Big Data Strategy

12:15PM - Day 1

View Making Sense of Unstructured Data

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