Data Science Resource Articles

Hit the target even if you miss the bullseye: Data accuracy vs precision
Data accuracy vs precision comparison came. When it comes to data measurements, precision and accuracy are two crucial elements to consider. Both accuracy and precision reflect how close a measurement is to a real value. Still, accuracy focuses on how close a measurement is to a known or accepted value.

Rising trends: Data fabric
The question of the day is, “What is data fabric?” Data-driven decision-making and increasing data practices are becoming more widespread in the business world. The epidemic may have compelled them to act, but they’ve recognized the value of data and will never go back to making judgments based on hunches.

The history of data processing technology
Devices were once valued only for their direct function. We dreamed, invented, and benefited. We continued to develop our ideas as time passed. We have pocketed more processing power than early spacecrafts and succeeded in connecting the whole world at this point. Data wells out from this digital world we

Interpolation vs extrapolation: How to forecast the future?
In a detailed comparison, we’ll look at the similarities and differences between interpolation vs extrapolation. The words “interpolation” and “extrapolation” may seem extremely technical, but they’re not that complex. Each term is employed somewhat differently, whether they’re being used generally or about math and data science. But we’ll see to

Work smarter, not harder: Use BI tools to go higher
What are the most significant business intelligence benefits and the technologies used to exploit them? You’ve undoubtedly heard the adage “work smarter, not harder.” That phrase might as well have been coined for business intelligence software (BI). Business intelligence software (BI) is made up of various data analytics tools used

Raw data’s journey to becoming information
What is raw data? Raw data is the data that has just been obtained from sources and is yet processed, so it offers no clear view. It is also known as source data, atomic data, or primary data. Raw data, on its own, isn’t much or significant, but its potential
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