Data Transformation Tips for the Trenches

Here are some quick and dirty data transformation techniques you might find useful. I'm not much into exposition, so that we can get started.

Depending on the application, data transformation has different purposes. It can prevent over-fitting for regression problems. In classification, it improves model accuracy significantly.

Build an Advanced RAG App: Query Rewriting
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In the last article, I established the basic architecture for a basic RAG app. In case you missed that, I recommend that you first read that article. That will set the base from which we can improve our RAG system. Also in that last article, I listed s... […]
Contexts in Go: A Comprehensive Guide
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Contexts in Go provide a standard way to pass metadata and control signals between goroutines. They are mainly used to manage task execution time, data passing, and operation cancellation. This article covers different types of contexts in Go and examp... […]
Next-Gen Lie Detector: Stack Selection
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The first lie detector which relied on eye movement appeared in 2014. The Converus team together with Dr. John C. Kircher, Dr. David C. Raskin, and Dr. Anne Cook launched EyeDetect — a brand-new solution to detect deception quickly and accurately. This... […]
Applying the Pareto Principle To Learn a New Programming Language
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In this article, I will discuss how you can apply the Pareto principle to quickly learn a new programming language and start solving real-world problems while you develop a deeper understanding of the programming language. What Is the Pareto Principle?... […]
Enhance IaC Security With Mend Scans
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Whether on the cloud or setting up your AIOps pipeline, automation has simplified the setup, configuration, and installation of your deployment. Infrastructure as Code(IaC) especially plays an important role in setting up the infrastructure. With IaC t... […]