Analysis Of Whatsapp Group Data On Stocks To Understand The Stock Recommendations Using Text Analytics

The core objective of this study was to automate the process of extracting messages (stock recommendations or trading tips) from a large set of exchanges within a WhatsApp group, formed exclusively to discuss and share stock market related information. Parsing the extracted messages to find specifics of the recommendations and pulling data for the stocks…

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March 27, 2019 | by

Building A Commercially Viable Machine Learning / Deep Learning Solution

A primer on factors to be considered for companies foraying into Machine Learning / Deep Learning and attempting to build experimental projects, solutions or Proof of Concepts based on Machine Learning. In an effort to rapidly build Machine Learning/Deep Learning capabilities, several data analytics and data sciences organizations/startups go through a plethora of online training…

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March 27, 2019 | by

Understanding Intermediary Layers Of A Deep Convolutional Neural Network Using Neural Style Transfer

1.Introduction An understanding of image representation is a crucial component of any image understanding system. In particular interest here is the ability to understand image representations and significance in the various layers of a deep Convolutional Neural Network (CNN). CNNs have become the preferred to alternate to solve visual recognition / identifications problems that cannot…

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March 27, 2019 | by