Explaning Market Share Prediction A Study On the Use of Machine Learning in ECommerce to Predict Market Share and the Connected Implementation of Explainable Artificial Intelligence Techniques to Increase Interpretability of these Predictions for Business Stakeholders with a Non-Technical Background

Halm van, Nicole

LIACS Thesis Repository

These webpages contain theses and reports by students affiliated with the various bachelor and master programmes offered at the Leiden Institute of Advanced Computer Science (LIACS), the computer science and artificial intelligence department of Leiden University.
Note: this thesis repository might be incomplete for certain programmes.

Master ICT in Business and the Public Sector

The following thesis was written by a student in the 2021-2022 class of the Master ICT in Business and the Public Sector programme at Leiden University.

Thesis details

Title	Explaning Market Share Prediction A Study On the Use of Machine Learning in ECommerce to Predict Market Share and the Connected Implementation of Explainable Artificial Intelligence Techniques to Increase Interpretability of these Predictions for Business Stakeholders with a Non-Technical Background
Student	Halm van, Nicole
Programme	Master ICT in Business and the Public Sector
Year	2021-2022
Supervisors	Hilbert, Dr. M. (Marc) (first supervisor) Visser, prof.dr.ir. J.M.W. (Joost)
Thesis	Open Thesis PDF

Citation details

Halm van, Nicole, Explaning Market Share Prediction A Study On the Use of Machine Learning in ECommerce to Predict Market Share and the Connected Implementation of Explainable Artificial Intelligence Techniques to Increase Interpretability of these Predictions for Business Stakeholders with a Non-Technical Background, Thesis Master ICT in Business and the Public Sector, LIACS, Leiden University, 2022.