data science

The Misconception of Retraining: Why Model Refresh Isn’t At all times the Fix

phrase “just retrain the model” is deceptively easy. It has develop into a go-to solution in machine learning operations each time the metrics are falling or the outcomes have gotten noisy. I actually...

What Is a Query Folding in Power BI and Why should You Care?

a question folding?” “Does your query fold?”… Perhaps someone asked you those questions, but you were like: “Query…Whaaaat?!” Or, possibly you’ve heard about query folding in Power BI, but didn’t know the right way...

When 50/50 Isn’t Optimal: Debunking Even Rebalancing

for an Old Challenge You're training your model for spam detection. Your dataset has many more positives than negatives, so that you invest countless hours of labor to rebalance it to a 50/50 ratio....

How To not Mislead with Your Data-Driven Story

is all over the place. There are countless books, articles, tutorials, and videos, a few of which I even have written or created.In my experience, most of those resources are inclined to present...

From Reactive to Predictive: Forecasting Network Congestion with Machine Learning and INT

Context centers, network slowdowns can appear out of nowhere. A sudden burst of traffic from distributed systems, microservices, or AI training jobs can overwhelm switch buffers in seconds. The issue shouldn't be just knowing...

Exploratory Data Evaluation: Gamma Spectroscopy in Python (Part 2)

part, I did an exploratory data evaluation of the gamma spectroscopy data. We were capable of see that using a contemporary scintillation detector, we are able to not only see that the article...

Learn how to Ensure Reliability in LLM Applications

have entered the world of computer science at a record pace. LLMs are powerful models able to effectively performing a wide selection of tasks. Nonetheless, LLM outputs are stochastic, making them unreliable. In...

The Crucial Role of NUMA Awareness in High-Performance Deep Learning

world of deep learning training, the role of the ML developer will be likened to that of the conductor of an orchestra. Just as a conductor must time the entry of every instrument...

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