2022 gave way to a virtual and complex business landscape. Complex metrics started to shape our world. Given the major shift in the paradigm, the destiny of businesses is indirectly being placed in the hands […]
Monday, 10:00am. I am entering the office where the regular weekly Leadership Community (LC) team meeting is held. As usual, we start the meeting by checking in. The first time we did the check in, […]
As I got familiar with the agile manifesto methodology a few months ago – agile values and principles, the most interesting thing for me was to think about its application within Data Science projects. The […]
In the previous posts, we got introduced with Data Science and some of the most famous use cases from the industry leaders. In our future posts, we will talk about the applications in specific industries. […]
“A field of study that gives computers the ability to learn without being explicitly programmed”. That is how Arthur Samuel defined machine learning by the end of the 1950s. As one of the pioneers in […]
In my previous post, I have tried to explain the evolutionary process of Data Science. Since it is a broad discipline, in regards to the context of the defined problem, Data Science may include several […]
Unless you have spent the last ten years trapped into the deep cave surrounded by nothing else but darkness – the chances are you have heard of Data Science. You may have even tried to […]
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