More than 20 years have passed since the match that changed the history of chess. In May 1997, DeepBlue computer by IBM defeated the top chess player Garry Kasparov in a six games match. For a long time, one believed that winning at chess requires a particular type of strategic thinking that machines are not…
In the last few years, I have seen several attempts to build a good data science/machine learning team both at Profinit as well as with our clients. Over time, I have observed several notorious anti-patterns, which tend to be very common in the field. Here are the three most noteworthy examples of such pitfalls:…
Full disclaimer: the author works as a data scientist and loves his job. Therefore, once robots take over the field of Data Science, he might lose his job and spend his last days being depressed. Or will he? Let’s not beat about the bush, looking back in time every profitable…
1. Employers are often looking for a unicorn data scientist Everyone working in the field is well aware that the skill set a data scientist brings to the job can vary widely depending on the context. A combination of statistical background, coding knowledge, and business acumen are definitely required, but to find an individual that…
Have you ever tried digging deeper into your company data warehouse? Perhaps you found one or two skeletons in the cupboard, but maybe also a hidden golden vein. If you haven’t, then it’s about time you roll your sleeves up and start the data mining! We live in the age of information and it has…