blog に戻る

2018年12月19日 著 Udit Saxena

How to Analyze Game Data from Killer Queen Using Machine Learning with Sumo Logic Notebooks

Complete visibility for DevSecOps

Reduce downtime and move from reactive to proactive monitoring.

Start free trial

部門

スポットライト

Sumo Logic cloud-native SaaS analytics

Build, run, and secure modern applications and cloud infrastructures.

Start free trial

Udit Saxena

Udit Saxena is a machine learning engineer at Sumo Logic. He works with the advanced analytics team where he is focused on working on data driven insights for the Sumo Logic Global Intelligence Service. He is also an active contributor to Sumo Logic open source solutions and to the general open source community.

More posts by Udit Saxena.

これを読んだ人も楽しんでいます

ブログ

Sumo Logic Mo Copilot: AI assistant for faster incident response and simplified troubleshooting

Built on Bedrock and designed for DevSecOps, Sumo Logic Mo Copilot is your AI assistant. It turns natural language into Sumo Logic queries and visualizations for faster investigation and response.

ブログ

The future is now, introducing Dynamic Observability from AI innovations built on logs

Using generative AI, we’re building solutions that get you to root cause faster than ever. Come see the innovations at re:Invent, or contact us to learn more.

ブログ

Reduce alert noise, automate incident response and keep coding with AI-driven alerting

Sumo Logic’s AI-driven alerting helps you minimize noisy monitors and accelerate recovery time through automation. Read how to reduce noisy alerts with Sumo Logic.