Easter is the perfect season to stop and think. In my case this year I have been reflecting on the recent controversy of whether or not reducing meat consumption as recommended by the WHO has an effect on our health and the environment, and I could not help but connect with the concept of change and its derivatives.
Over 90% of world trade is in the hands of the international maritime shipping industry. Every year, it moves more than USD 4 trillion of goods. For shipping companies, there’s a lot of pressure to remain on schedule, protect the cargo ship and crew, and ensure profitability. And we can’t say it’s easy.
This is the second (and last) part of the series dealing with the formal comparison of Machine Learning (ML) algorithms from a statistical point of view. In this post, we examine how statistical tests are applied to performance data of ML algorithms.
In industry, when a practitioner (often a Data Scientist) uses a machine learning algorithm to build a predictive model to solve a real-world problem, they are interested in the performance when the model is deployed into a production environment…
This is the second chapter of a three-part series on Evolutionary Feature Selection with Big datasets. We will start where we left off, namely with a review of existing metaheuristics with special focus on Genetic Algorithms.