The Banking/Financial sector is just one of the many industries, which benefits hugely from data science-driven insights. With a natural affinity for numbers and quantitative methods, it surprises no one that it was one of the early adopters of Data Science, Machine Learning,…
Understanding Data science is becoming one of the most demanded skill sets in the 21st-century job market. Data are flowing everywhere in ever-evolving magnitude. Storing them is costly, and business better finds ways how to turn them into profit. In some industries, the so-called…
Why the why? As a statistician or data scientist, I want to answer many why questions. • Why are these customers buying the product? • Why are these patients not getting better? • Why is the number of defaults rising?…
by Dominik Matula, Data scientist at Profinit 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…
Understanding Data science is becoming one of the most demanded skill sets in the 21st-century job market. Data are flowing everywhere in ever-evolving magnitude. Storing them is costly, and business better finds ways how to turn them into profit. In some industries, the so-called ‘trickle-down’…
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…
by Petr Paščenko, Head of Data Science at Profinit 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…
Big Data AI Summit 2019 in Berlin conference review
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.
The Banking/Financial sector is just one of the many industries, which benefits hugely from data science-driven insights. With a natural affinity for numbers and quantitative methods, it surprises no one that it was one of the early adopters of Data Science, Machine Learning, and AI…
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