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# Title
MLOps: experiment tracking and monitoring in production
# Description
As the field of machine learning advances, managing and monitoring intelligent models in production, also known as ma…
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### Is there an existing issue for this?
- [X] I have searched the existing issues
### Feature Description
Credit card fraud is a significant issue that affects both consumers and financial institu…
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## 1. The ML system life cycle
- continuous delivery for machine learning (CD4ML)
![스크린샷 2021-09-09 오후 7 00 38](https://user-images.githubusercontent.com/21117612/132665964-5017e87e-0ff1-4…
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https://thodrek.github.io/CS839_spring18/papers/p1723-polyzotis.pdf
SIGMOD 17的tutorial(什么是tutorial?)
## 1. 前言
目标是描述机器学习流水线上的数据管理问题,和数据库界的已有工作建立连接,概述待解决的问题。受众包括数据库研究者和从业人员,目的是让其明白生产机器学习流水线和数据管理交界处…
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### Is there an existing issue for this?
- [X] I have searched the existing issues
### Feature Description
developing initially a web application that uses the camera to capture images of fruit or …
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## Context and Problem Statement
In ML projects, we need to track datasets, models and experiments. MLOps is the process of tracking experiments and moving machine learning models into production s…
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## Location
* Vietnam
* Remote
## Salary Expectation
* $6000/month or range
## Requirements
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
- Pr…
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http://www.kdd.org/kdd2017/papers/view/tfx-a-tensorflow-based-production-scale-machine-learning-platform
KDD 2017 Applied Data Science Paper KDD’17, August 13–17, 2017, Halifax, NS, Canada 1387
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## Meta
- Link: https://dl.acm.org/doi/pdf/10.1145/3097983.3098021
- Author: google
- Date: 2017
- Journal: KDD
## どんなもの?(3行ぐらいで)
- Google で実装した機械学習パイプライン(TFX)をGoogle Playにプラットフォームを導入した事例を紹介し、…