Machine Learning

Jan 1, 2022

How can Data Science revolutionize the logistics and supply chain sector? Join us for the Data Science Masterclass this 9 February 2019 (Saturday) from 1:30 to 3:30 PM at AIM.

Feb 9, 2019

How can Data Science revolutionize the finance, marketing and sales sector? Join us for the Data Science Masterclass this 8 February 2019 (Friday) from 1:30 to 3:30 PM at AIM.

Feb 8, 2019

Here, using an ensemble of machine learning models, a procedure is demonstrated that classifies passengers (Adult, Child/Student, and Senior Citizen) based on their three-month travel patterns. The method proceeds by constructing distinct commuter matrices, we refer to as eigentravel matrices, that capture a commuter's characteristic travel routine. Comparing various classification models, we show that the gradient boosting method gives the best prediction with 76% accuracy, 81% better than the minimum model accuracy (42%) computed using proportional chance criterion.

Feb 28, 2017

In this work, we particularly focus on the complex relationship between land-use and transport offering an innovative approach to the problem by using land-use features at two differing levels of granularity (the more general land-use sector types and the more granular amenity structures) to evaluate their impact on public transit ridership in both time and space. To quantify the interdependencies, we explored three machine learning models and demonstrate that the decision tree model performs best in terms of overall performance—good predictive accuracy, generality, computational efficiency, and “interpretability”.

Nov 30, 2016

Jul 1, 2016