I use this space to document solutions or new learnings from my experience while working as a data scientist.
Articles
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If you can't estimate the value of your AI product, don't engage in model development.
Currently, only the tech giants are making the most from AI solutions. Plenty of other companies still need to demonstrate the value of their AI investment. All the costs for the cloud services, licenses, finding and retaining the best talent, and time to develop and launch the solution. And what does that x% improvement means to the organisation?
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Predicting risk of money laundering activity using semi-supervised methods
In the gambling industry, money laundering is one of the most threatening concerns for any operator. It is a rare event but can introduce severe fine from the gambling authorities if a case goes unchecked/unreported. In the recent past, machine learning has become increasingly successful in identifying such events in online gambling. In this article, we focus on explaining the implementation of semi-supervised methods to generate risk predictions.
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A naive approach to identify financial risk in the online gambling industry
The gambling industry is one of the biggest entertainment industry in the world. Perhaps, one of the oldest as well. We can broadly classify it into sports betting, poker and casino which includes bingo, live game etc. It is currently a multi-billion industry and is estimated to grow further in the coming years.