A multivocal literature review of mlops tools and features

G Recupito, F Pecorelli, G Catolino… - 2022 48th Euromicro …, 2022 - ieeexplore.ieee.org
DevOps has become increasingly widespread, with companies employing its methods in
different fields. In this context, MLOps automates Machine Learning pipelines by applying …

[PDF][PDF] Virtual machine allocation with lifetime predictions

H Barbalho, P Kovaleski, B Li, L Marshall… - … of Machine Learning …, 2023 - mlsys.org
Welcome to the Microsoft presentation toolkit Page 1 Virtual Machine Allocation with Lifetime
Predictions Hugo Barbalho, Patricia Kovaleski, Beibin Li, Luke Marshall, Marco Molinaro …

RALF: Accuracy-Aware Scheduling for Feature Store Maintenance

S Wooders, X Mo, A Narang, K Lin, I Stoica… - Proceedings of the …, 2023 - dl.acm.org
Feature stores (also sometimes referred to as embedding stores) are becoming ubiquitous
in model serving systems: downstream applications query these stores for auxiliary inputs at …

Neural statistics for click-through rate prediction

Y Huang, H Wang, Y Miao, R Xu, L Zhang… - Proceedings of the 45th …, 2022 - dl.acm.org
With the success of deep learning, click-through rate (CTR) predictions are transitioning from
shallow approaches to deep architectures. Current deep CTR prediction usually follows the …

Unification of machine learning features

J Patel - 2020 IEEE 44th Annual Computers, Software, and …, 2020 - ieeexplore.ieee.org
In the Information Age, Machine learning (ML) provides a competitive advantage to any
business. Machine learning applications are not limited to driverless cars or online …

Blockchain as an enabler for transfer learning in smart environments

A Anjomshoaa, E Curry - arXiv preprint arXiv:2204.03959, 2022 - arxiv.org
The knowledge, embodied in machine learning models for intelligent systems, is commonly
associated with time-consuming and costly processes such as large-scale data collection …

Data Integration, Management, and Quality: From Basic Research to Industrial Application

L Ehrlinger, C Lettner, W Fragner, G Gsellmann… - … on Database and Expert …, 2022 - Springer
Data integration, data management, and data quality assurance are essential tasks in any
data science project. However, these tasks are often not treated with the same priority as …

The democratization of machine learning features

J Patel - 2020 IEEE 21st International Conference on …, 2020 - ieeexplore.ieee.org
In the Machine Age, Machine learning (ML) becomes a secret sauce to success for any
business. Machine learning applications are not limited to autonomous cars or robotics but …

Feature Stores: A Key Enabler for Feature Reusability and Availability Across Machine Learning Pipelines

A Majeed, SO Hwang - Computer, 2024 - ieeexplore.ieee.org
Feature Stores: A Key Enabler for Feature Reusability and Availability Across Machine Learning
Pipelines Page 1 Real-world datasets are often noisy, messy, and unstructured, which means …

FeaDB: 基于内存的多版本在线特征存储

高歌, 胡卉芪 - 华东师范大学学报(自然科学版), 2023 - xblk.ecnu.edu.cn
特征管理是搭建人工智能数据管道中的重要一环. 特征存储要求在模型训练和推理阶段提供有效
版本的特征推送服务. 为响应这一需求, 特征存储需要为特征实时更新和版本管理提供保证 …