Category Archives: Data Analytics

How did modern data centers evolve?

Today, big data and modern databases are the backbone of information management. Did you know that before the rise of cloud computing or AI analytics, the roots of these technologies can be traced back to libraries, census offices and one interesting machine: the UNIVAC I? Let’s talk about the early evolution of data centers and […]

6 common data challenges when creating a machine learning model (and how to avoid them)

The goal of any data science project is turning raw data into valuable insights for your company. This means detecting patterns that give accurate predictions, and, consequently, making better decisions. Let’s look at 6 of the most common problems data scientists face when gathering data to create machine learning models. Data problem #1: Unrepresentative samples […]

Is GPU computing suitable for big data analytics?

Big data analytics with AI

  Today, anyone with a basic computer can perform powerful data analysis and extract valuable insights without needing expensive, sophisticated equipment. With an average computer, you can, for example, use one of Python’s open-source libraries and perform linear or logistic regressions, time series analysis, or apply classical inferential statistics methods. These tasks are generally light […]