data science

A was implemented, studied, and proved. It was right in its predictions, and its metrics were consistent. The logs were clean. Nevertheless, with time, there was a growing variety of minor complaints: edge...

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...

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...

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....

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...

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...

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...

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...