Ramesh's Page

Kranti Kumar liked Ramesh's blog post Deep Learning: Leverage Transfer Learning

May 30

Ramesh's blog post was featured

How to maintain Model Effectiveness after deployed

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

May 17

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Ramesh commented on Ramesh's blog post Deep Learning: Detecting Fraudulent Healthcare Provider using AutoEncoder

"Lance, Thank you for your thoughtful comment. I agree with you being the data unbalance, it is better to balance the ratio before develop a model. The data I have is provided level fraduent and assumed every claim from fraud provider is fraud. I am…"

Apr 27

Lance Norskog commented on Ramesh's blog post Deep Learning: Detecting Fraudulent Healthcare Provider using AutoEncoder

"Given that the base data is unbalanced, it might work better to create a balanced subset of the input or fabricate new inputs with a more balanced ratio. A simple autoencoder is just garbage-in-garbage-out. An alternative would be a…"

Apr 26

Ramesh's blog post was featured

Deep Learning: Detecting Fraudulent Healthcare Provider using AutoEncoder

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

Apr 26

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Tim Matteson liked Ramesh's blog post Deep Learning: Leverage Transfer Learning

Apr 24

Ramesh's blog post was featured

Deep Learning: Leverage Transfer Learning

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

Apr 23

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Lance Norskog commented on Ramesh's blog post COVID19: Question-Answering Model using BioSentVec Embedding

"Nice work! This is an impressive use of advanced off-the-shelf tools. Lance"

Apr 19

Ramesh liked Vincent Granville's blog post Covid-19 Modeling: Impact of Missing Data and Ignoring Key Features

Apr 19

Ramesh's blog post was featured

COVID19: Question-Answering Model using BioSentVec Embedding

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

Apr 19

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Stephan O'Bryan liked Ramesh's blog post Wind Turbine Surface Damage Detection using Deep Learning Algorithm

Apr 13

Ramesh's blog post was featured

Wind Turbine Surface Damage Detection using Deep Learning Algorithm

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

Apr 12

0 Comments 1 Like

Ramesh's blog post was featured

Predicting Smart Meters’ Next Non-Communicative Day

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

Apr 5

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How to maintain Model Effectiveness after deployed

Deep Learning: Detecting Fraudulent Healthcare Provider using AutoEncoder

Deep Learning: Leverage Transfer Learning

COVID19: Question-Answering Model using BioSentVec Embedding

Wind Turbine Surface Damage Detection using Deep Learning Algorithm

Predicting Smart Meters’ Next Non-Communicative Day

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Ramesh's Blog

How to maintain Model Effectiveness after deployed

Deep Learning: Detecting Fraudulent Healthcare Provider using AutoEncoder

Deep Learning: Leverage Transfer Learning

COVID19: Question-Answering Model using BioSentVec Embedding

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