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Data cleansing with unstructured data

Data cleansing is critical in data analysis. The quality of data cleansing has a direct impact on the accuracy of the derived models and conclusions. In practice, data cleaning typically accounts for between 50% and 80% of the analysis process. Traditional data cleansing methods are mainly used to process structured data, including the completion of missing data, modification of format and content errors, and removal of unwanted data. Resources on…
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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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New PolyAnalyst Color Moods

With the evolution of the PolyAnalyst™ web reporting software, new color palettes and exciting features have recently been launched. Users will now have the option to globally change and share color palettes within a web report by using the auto-sync feature. Pre-packaged color palettes will also be available in the newest versions, enabling users to apply a color mood to their report. Additionally, if the user prefers to apply a…
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Popularizing text analytics

Megaputer has made great improvements in the past year towards popularizing PolyAnalyst™, Megaputer’s data and text analysis software, among young and upcoming data science professionals. Based on our latest recruitment data, there is an increasing number of undergraduate and graduate students utilizing various text analysis tools. Many of the applicants towards data analyst positions were engineering students. The fields of study applying towards these analyst positions is, however, expected to…
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