With the technology at our disposal today, we are trusting computers to do more and more everyday things for us. While some may be skeptical, there isn’t anything as such wrong with this as the more data we generate, the more precise the algorithms powering these computers will become. However,
Rails 6.0 recently shared its amazing enhancements although most would consider these as feature upgrades. In my opinion, both are correct, as the actual state of multiple databases before rails 6.0 was not even considered it a completed feature. So, let’s dive into Rails < 6 state! Rails 6 introduced
For those of us working with data, we are all too familiar with how difficult it can be to fully understand what we are presented with. No matter how complex, data can be difficult for us to digest and make sense of. Data visualization is an effective technique that can
Some executive-level roles are difficult to define from an outsider’s perspective. Two of the most challenging c-suite positions to distinguish are that of CTO and CIO since they are only one letter different and both deal with the IT side of an organization. As a growing company or aspiring IT
In data science, the theory in practice is not always the same as reality. When working with data, it’s not uncommon to be presented with several complex problems. Fortunately, you are not alone and there are blogs, slack channels, and useful information to come to the rescue. Plenty of problems
Why should we care about Data Science? Nowadays more and more data is being generated by smartphones, social media, health, banks, stores, online services, governments, sensors, etc. Every piece of information is saved ‘just in case’. Thus, the available data cannot be processed by human’s brains, we need algorithms and
