An Examination of Distribution Prediction Methods Author: Konstantin Galperin The current supervised machine learning toolkit is vast, and such methods are applied with a single goal in mind – making a point prediction. However, in some cases, it might be beneficial to predict a range of outcomes. For example, an insurance company might find it […]
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The traditional data science team has undergone a period of drastic change in the past two years due to COVID-19 and the “Great Reshuffle” that has followed. This period has witnessed relocation of staff to remote locations, changing business models in response to the pandemic, and challenges in attracting and retaining talent. At a time
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As data science becomes a key factor in the decision making process of society, along with that comes the democratization of data analysis allowing anyone, not just statisticians, to draw conclusions from data. There is an undeniable ease to summary statistics that makes them appealing, but here at Fulcrum, we often encounter clients throwing away
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Data science has become a necessity for companies looking for innovative and efficient ways of solving complex business problems. As the world becomes more data-centric, trends in data science technologies and practices continue to emerge and evolve. Continual education on cutting edge data science applications can help optimize an organization’s operations, internal processes, and bottom
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The term “open source” refers to software that is developed by an individual, group, or company and made available for use by anyone free of charge. The reason the developer opens the use of the software to anyone at no cost is to harness improvements resulting from volunteer contributions. The open source concept benefits both
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