Data

The right way to find incredible distant jobs and get hiredData engineering is super hot straight away, which suggests there are tons of job opportunities on the market. On this piece, I would like...

When to make use of MinMaxScaler vs StandardScaler vs something elseScaling is basically the technique of bringing all of the features closer to an identical or same range or scale, similar to transforming them...

An intuitive guide to text vectorizationIn my last post, we took a more in-depth have a look at foundation models and enormous language models (LLMs). We tried to know what they're, how they're used...

Health startups are saying that unclear regulations are stifling AI innovation within the sector. In fact, such precautions are vital within the healthcare industry, where it’s literally a case of life or death. But...

Ten inquiries to test which AI assistant writes the perfect SQL· Context· Let’s Compare Their SQL Skills!· Round 1: Problem Solving (LeetCode SQL)· Round 2: Business Logic· Round 3: Query Optimization· Summary· What’s NextWelcome...

My initial goal was to start out a modest data project to investigate my listening habits. Nevertheless, it become a three-month project wealthy in learning and discovery.Throughout the method, I noticed how closely related...

Maximise the business value of your dataThe arrows between the info products, business use case and value drivers are the backbone of knowledge value lineage. They make the link between the three fundamental questions....

Lessons from 30+ years in data engineering: The missed value of keeping it easyNow we have a simple and fundamental principle in computer programming: the separation of concerns between logic and data. Yet, after...