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Ramesh
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  • Morrisville, NC
  • United States
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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
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
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
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
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
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
Ramesh and Ramesh Periyasamy are now friends
Apr 2
Ramesh updated their profile
Apr 1

Profile Information

Company:
Cognizant Technology Solutions
Job Title:
Lead AI Data Scientist
Seniority:
Consultant
Job Function:
Data Science, Machine Learning, AI, Business Analytics, Deep Learning
LinkedIn Profile:
http://www.linkedin.com/in/rameshalagesan/
Interests:
Contributing, Networking, Finding a new position

Ramesh's Blog

How to maintain Model Effectiveness after deployed

Posted on May 17, 2020 at 11:32am 0 Comments

How to maintain Model Effectiveness after deployed

When 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…

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