Workshop on Applied Machine Learning Management

2Citations
Citations of this article
11Readers
Mendeley users who have this article in their library.
Get full text

Abstract

Machine learning applications are rapidly adopted by industry leaders in any field. The growth of investment in AI-driven solutions created new challenges in managing Data Science and ML resources, people and projects as a whole. The discipline of managing applied machine learning teams, requires a healthy mix between agile product development tool-set and a long term research oriented mindset. The abilities of investing in deep research while at the same time connecting the outcomes to significant business results create a large knowledge based on management methods and best practices in the field. The Workshop on Applied Machine Learning Management brings together applied research managers from various fields to share methodologies and case-studies on management of ML teams, products, and projects, achieving business impact with advanced AI-methods.

Cite

CITATION STYLE

APA

Goldenberg, D., Sokolova, E., Meir Lador, S., Mandelbaum, A., Vasilinetc, I., & Jain, A. (2022). Workshop on Applied Machine Learning Management. In Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (pp. 4874–4875). Association for Computing Machinery. https://doi.org/10.1145/3534678.3542914

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free