Remember the days when we used to stand in a queue to get a copy of a document? Or when we discovered the magical-seeming invention of personal Xerox machines that later became an office necessity? When it comes to document management, we surely have come a long way from using physical documents. Now, everything is […]
Data cleaning (or data cleansing) is the process of checking your data for correctness, validity, and consistency and fixing it when necessary. No matter what type of data you are handling, its quality is crucial. So it’s better to implement this process into your regular workflow as soon as possible. What are the specifics of data […]
Big data has become a very important part of modern business. Companies are using big data technology to improve their human resources, financial management and marketing strategies. Digital marketing, in particular, is very dependent on big data. Companies are expected to spend over $5 billion on big data marketing services in 2026. One of the […]
Review this detailed tutorial with code and revisit the decades-long old problem using a democratized and interpretable AI framework of how precisely can we anticipate the future and understand its causal factors?
Data Science models come with different flavors and techniques — luckily, most advanced models are based on a couple of fundamentals. Which models should you learn when you want to begin a career as Data Scientist? This post brings you 6 models that are widely used in the industry, either in standalone form or as a building block for other advanced techniques.
Quantum 5, 609 (2021).https://doi.org/10.22331/q-2021-12-23-609The efficient preparation of input distributions is an important problem in obtaining quantum advantage in a wide range of domains....
