Auto-tagging Interior Design Styles

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Sorting content into categories is a key task for recommendation systems, as well as for general data management. We’ve talked a lot about text data lately — for example, using topic tags to improve article suggestions for your readership, and how you can build a custom text classifier for your specific industry or task. We… Read more

Liberating PDF Data: Introducing Our Newest API

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PDF, or Portable Document Format, files were developed to enable people using different operating systems to open, review, and print files without altering any of the file’s original elements or design. Successful adoption of this format over the years means that there is now a wealth of information stored in PDF files. Extracting that information… Read more

Building a Bot for Better Customer Support

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In a startup, we wear many hats. Operations does a little bit of sales, marketing does a little bit of quality assurance, engineering contributes to the blog…and everyone takes pride in helping out with customer service. For many months, we had one person managing questions we received through our little Intercom chat window (you know,… Read more

Data Science Deployments with Docker

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Deploying machine learning models has always been a struggle. Most of the software industry has adopted the use of container engines like Docker for deploying code to production, but since accessing hardware resources like GPUs from Docker was difficult and required hacky, driver specific workarounds, the machine learning community has shied away from this option.… Read more

Read Less, Learn More: Introducing indico’s Summarization API

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In knowledge driven economies, it’s increasingly common for many jobs to revolve around the consumption and analysis of information. This may entail, for example, reading dozens of articles to draw conclusions about emerging trends. Doable, right? Imagine, though, if you were a financial analyst and had to read through hundreds of articles and reports each… Read more

Build Customized Deep Learning Models, No Code Required

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General, pre-trained machine learning solutions are now easier to come by — sentiment analysis, topic classification, entity extraction, etc. Unfortunately, these solutions typically don’t work so well with industry or company-specific tasks, because the data that matters for your business is probably different from the data used to train the model. For instance, financial articles… Read more