Machine Learning Project and Scrum
I’ve worked on several machine learning projects, and intuitively, I’ve felt that Scrum doesn’t seem well-suited for machine learning. However, during an internal discussion, a …
機械学習プロジェクトとスクラム
機械学習プロジェクトをいくつかこなしてきたが、直感的にはスクラムが機械学習に向いていなさそうというのを思っていた。が、社内で議論をしたときに「Technical Storyを使えばタスクを2週間に収まるように分割できるはず。そして、それをすれば2週間で価値がでるはず」と言われて、ちゃんと反論ができなかったので世の中ではどういう取り組みがあるのかも含めて、言語 …
Machine Learning in Production Wiki
Machine Learning infrastructure/architecture/operation for productionization
Challenges for Machine Learning Systems toward Continuous Improvement
When executing machine learning pipelines for trainings and inferences, the systems and machine learning infrastructures vary depending on required characteristics and requirements …
150 successful Machine Learning models: 6 lessons learned at Booking.comのメモ
Booking.comの話題の論文から気になるところをメモ
MLOpsの歩き方 (Beginners Guide to MLOps)
This article covers very biginning guide for MLOps, i.e., What is MLOps? How do tech giants make Machine Learning systems? What challenges are important? or major open sources for …
Managing Machine Learning workflows on Treasure Data
Train, predict, and serve: How to put your machine learning model into production
Adopting a machine learning system is an essential step for enterprise companies to progress to the next stage of their business. However, machine learning systems tend to be …