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How to Audit and Explore Datasets in PolyAnalyst

Suppose you just obtained a fresh new set of data. You might know what it’s generally about, but the only way you can know what hypotheses to test (and what analysis challenges you’re up against) is to explore the data and audit its overall quality. Unless you can see the basic overview of what you’re dealing with, you won’t be able to determine the most appropriate models to build or…
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What’s the News with Neural Networks?

There are many reasons for the explosion of machine learning advancements over the past decade. We now have vastly improved hardware for fast computation, and memory is cheaper than ever. Data is now “Big Data,” and it is both jealously hoarded and publicly available in repositories such as ImageNet. Individually, these advancements are already a blessing for the technology-space. But for artificial intelligence (AI), they have opened the gates for…
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An introduction to machine learning

Machine Learning is hot right now. Really hot. And it’s come a long way from where it was over two decades ago. In 1996, IBM’s Deep Blue defeated world chess champion Garry Kasparov. This was a great achievement to mark the progress of the field, but chess is a relatively simple task and computers still struggled to be able to master more difficult tasks for another decade. Then, in the…
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Thanks for attending the 2018 Megaputer Analytics Conference

We had a great experience at the Megaputer Analytics Conference this year. Of course, this event would have been nothing special if it were not for the attending professionals whose engagement and contributions enhanced the content and discussion. A special thanks to the guest speakers for sharing their challenges faced and current applications developed using data and text analysis. We appreciate all the feedback about how everyone enjoyed the interactive…
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