Matching Problems to Solutions: An Explainable Way of Solving Machine Learning Problems

arXiv:2406.15662v1 Announce Type: new
Abstract: Domain experts from all fields are called upon, working with data scientists, to explore the use of ML techniques to solve their problems. Starting from a domain problem/question, ML-based problem-solving typically involves three steps: (1) formulating the business problem (problem domain) as a data analysis problem (solution domain), (2) sketching a high-level ML-based solution pattern, given the domain requirements and the properties of the available data, and (3) designing and refining the different components of …

abstract arxiv business cs.ai cs.lg data data scientists domain domain experts experts explore fields machine machine learning problem problem-solving question scientists solutions solve type