How to maintain Model Effectiveness after deployedWhen we ready to deploy a good predictive model which given a good accuracy score on training and testing dataset, there is one more problem to solve.  How long will this model effectively solve the problem with the same high accuracy and what is the strategy to maintain the model accuracy. We also need to know what action we need to take when the model's effectiveness on the decline trend. In this article, I am sharing my strategy for…See More

 IntroductionIn this article, I will share my experience that how to use the power of deep neural networks to effectively identify fraudulent healthcare providers from the health care transactions that can be identified as anomalies in a dataset. For this solution, I used autoencoder machine learning algorithm and implemented it in the H2O platform.Let…See More

For my current project, I was reaching about how to leverage the transfer learning techniques to improve model accuracy. In this blog, I am sharing my experience of how to leverage transfer learning in deep learning models.In the recent development in deep learning space, we can develop a complex neural network model which trained on a very…See More

 Introduction            As we see COVID19 affected 1.5M people globally and 100k deaths, the worldwide AI research community are trying help medical community whatever the way we could. Many of medical questions are leads to research papers for answers. These questions are suitable for text mining, and developing text mining tools to provide…See More

In this article, I will be detailing out how deep learning algorithm such as Faster-RCNN can be used to detect wind turbine blade damages from the drone images. I used Keras to implements this solution.Timely detection of surface damages on wind turbine blades is imperative for minimizing downtime and avoiding possible catastrophic structural failures. A large number of…See More

Predicting Smart Meters’ Next Non-Communicative DaySmart meters are used for billing of electricity, gas, water, and heat for residential, commercial, and production sites. The technological advancements in these smart meters are being driven by the demand from utility companies to create a smarter and more efficient grid aimed at reducing non-revenue losses. However,…See More