The no free lunch theorem The “no free lunch” (NFL) theorem by David Wolpert and William Macready basically implies that no single machine learning algorithm is universally the best-performing algorithm for all problems. So when tackling a new problem to solve with machine learning (ML), you don’t know which machine learning model should be used…

Here’s the transcript of the live episode about NLP with Nina Hristozova, Data Scientist (AI & NLP) at Thomson Reuters. We’ll learn more about NLPs and their applications and challenges, but also their current usage in documents and text based formats. George: Hello, everybody. Welcome on the Lights On Data…

If you’re at the beginning of your data governance journey, one of the very first steps you’ll need to take is to identify who in your organization will be part of the data governance team. Appointing the wrong people to key roles can cause the wheels to come off any…

A data governance maturity model is a sought after tool as it brings quite a few benefits which could be placed in the following 5 buckets: 1. Regulation Sometimes there might be a regulatory oversight that requires a minimum level of maturity in data governance. To be fair, a regulatory body won’t…

There’s a bit of a confusion as what the difference is between a data analyst and a data scientist. I went over 100 job descriptions and I must have read over 50 different articles and white papers from reputable sources, including top-notch universities. …