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OverviewThe Technological Emergence of AutoML presents a comprehensive snapshot of how AutoML has permeated into mainstream use within the early 2020s. This work surveys both their implementation and application in the context of industry. It also defines what a ‘performant’ AutoML system is – HCI support is valued highly here – and assesses how the current crop of available packages and services lives up to expectations. To do so in a systematic manner, this survey is structured as follows. Section 2 begins by elaborating on the notion of an ML workflow, conceptually framing AutoML in terms of the high-level operations required to develop, deploy and maintain an ML model. Section 3 uses this workflow to support the introduction of industry-related stakeholders and their interests/obligations. These requirements are unified into a comprehensive set of criteria, supported by methods of assessment, that determine whether an AutoML system can be considered performant. Section 4 launches the survey in earnest, assessing the nature and capabilities of existing AutoML technology beginning with an examination of open-source AutoML packages. The section additionally investigates AutoML systems that are designed for specific domains, as well as commercial products. Subsequently, Section 5 assesses where AutoML technology has been used and how it has fared. Academic work focusing on real-world applications is surveyed, as are vendor-based case studies. All key findings and assessments are then synthesized in Section 6, with commentary around how mature AutoML technology is, as well as whether there are obstacles and opportunities for future uptake. Finally, Section 7 provides a concluding overview on the technological emergence of AutoML. Full Product DetailsAuthor: Alexander Scriven , David Jacob Kedziora , Katarzyna Musial , Bogdan GabrysPublisher: now publishers Inc Imprint: now publishers Inc Weight: 0.381kg ISBN: 9781638283225ISBN 10: 1638283222 Pages: 268 Publication Date: 18 January 2024 Audience: Professional and scholarly , Professional & Vocational Format: Paperback Publisher's Status: Active Availability: In Print This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us. Table of Contents1. Introduction 2. The Machine Learning Workflow 3. Performant Machine Learning 4. AutoML Software 5. AutoML Applications 6. Critical Discussion and Future Directions 7. Conclusions Appendices ReferencesReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |