Prabhu Palanisamy

Predicting The Stock Market Using Images

Manuel Amunategui, VP of Data Science at SpringML presented on the topic “Convolutional Neural Networks And Unconventional Data – Predicting The Stock Market Using Images” during the Global Artificial Intelligence Conference in Santa Clara last week. Synopsis: “This is about taking numerical data, transforming it into images and modeling it with convolutional neural networks. In other …

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Case Study: Advertising. Supplementing Human Judgement with Machine Learning

There’s a great deal of interest in the business world in adding machine learning (ML) capabilities to data analysis applications so computers can leverage the terabytes of data companies generate on a daily basis to improve their products, services and/or internal processes. Some futurists have speculated that the combination of ML and big data has the …

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Visualization Best Practices for Einstein Analytics

  3 Simple tricks to make your Einstein Analytics Visualizations more meaningful.   The old adage “a picture is worth more than a thousand words” is true but if the right visual representation is not used, it becomes misleading and difficult to interpret. The following use cases explain some misrepresentation scenarios and then suggests solutions to fix …

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Visualization

Machine Learning is Easy, then what is difficult?

In the whole Machine Learning development, model development is the easy and least time-consuming effort. Operationalization is the hardest and that’s where all projects are either failing or struggling to justify investment. It’s not a one time effort. Most Machine Learning projects start with access to existing data and particular use case to solve. The analogy I use …

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Machine Learning