machine_learning

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 …

2019-11-22 14:20 — 15:00 Winc Aichi, Nagoya

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 …

Managing Machine Learning workflows on Treasure Data

2018-10-17 — Shibuya, Japan

仕事ではじめる機械学習

2018-05-17 — Tokyo, Japan

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. …

2017-12-06 13:45 — 14:25 Suntec Singapore Convention & Exhibition Centre, Singapore

機械学習システムのデプロイパターン

2017-11-07 — Tokyo, Japan

仕事ではじめる機械学習 (Machine Learning for Business)

First book for how to design Machine Learning systems and how to proceed Machine Learning projects. This book is originally written in …

Aki Ariga, Shinta Nakayama, Takashi Nishibayashi