ROURKELA: A research team from the Civil Engineering department of the National Institute of Technology-Rourkela (NIT-R) has successfully used machine learning ...
Machine learning programming is an evolving field that enables computers to learn from data and make predictions or decisions without explicit programming. It is a subset of artificial intelligence ...
Algorithms and other computational models that appear to "think" are trained on massive datasets to learn how to identify and process information. The ...
Surveys conducted by Indian states can help fill a vacuum of statistics left by central agencies that display a tendency to delay or withdraw vital data-sets. Ultimately, though, we need all-India ...
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isixsigma on MSNVariable vs. Attribute Data: What’s the Difference?Now, this can be broken down into two categories: variable and attribute data. Understanding the difference and learning how ...
Google has unveiled a new marketing mix modeling (MMM) platform. Can marketers afford to trust it? Can they afford not to?
Researchers find large language models process diverse types of data, like different languages, audio inputs, images, etc., similarly to how humans reason about complex problems. Like humans, LLMs ...
Instead of attempting to control everything at once, we identified three categories of variables to help move forward.
Ne-Yo’s up-tempo melodic song, Closer with follow-up Miss Independent, alongside Pink, at her musical peak, and Taylor Swift, ...
Khatun, N. (2025) Evaluations of Machine Learning Algorithms Using Simulation Study. Open Journal of Statistics, 15, 41-52.
"Statistical thinking will one day be as necessary for efficient citizenship as the ability to read and write." – H.G. Wells ...
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