29回勉強会資料「PostgreSQLのリカバリ超入門」
See also http://www.interdb.jp/pgsql (Coming soon!)
初心者向け。PostgreSQLのWAL、CHECKPOINT、 オンラインバックアップの仕組み解説。
これを見たら、次は→ http://www.slideshare.net/satock/29shikumi-backup
2022/3/24に開催した「オンプレML基盤 on Kubernetes」の資料です。オンプレミス環境のKubernetesを使って構築した機械学習基盤の開発、運用の取り組みをご紹介します。
https://ml-kubernetes.connpass.com/event/239859/
Probabilistic fasttext for multi sense word embeddingsMakoto Takenaka
2018年7月8日ACL2018読み会@LINE株式会社
https://arxivtimes.connpass.com/event/90920/
紹介論文
Probabilistic FastText for Multi-Sense Word Embeddings
29回勉強会資料「PostgreSQLのリカバリ超入門」
See also http://www.interdb.jp/pgsql (Coming soon!)
初心者向け。PostgreSQLのWAL、CHECKPOINT、 オンラインバックアップの仕組み解説。
これを見たら、次は→ http://www.slideshare.net/satock/29shikumi-backup
2022/3/24に開催した「オンプレML基盤 on Kubernetes」の資料です。オンプレミス環境のKubernetesを使って構築した機械学習基盤の開発、運用の取り組みをご紹介します。
https://ml-kubernetes.connpass.com/event/239859/
Probabilistic fasttext for multi sense word embeddingsMakoto Takenaka
2018年7月8日ACL2018読み会@LINE株式会社
https://arxivtimes.connpass.com/event/90920/
紹介論文
Probabilistic FastText for Multi-Sense Word Embeddings
Having experiences of developing iCook API, I'd like to share some gems, skills and tips to build an efficient, consistent and well-documented API with Ruby on Rails which makes API users like you more.
探索 API 開發的挑戰與解決之道 | .NET Conf 2023 TaiwanAlan Tsai
相信大家對於為什麼要把服務 API 化的原因都清楚了,但是該怎麼開始呢?如果要走 API Design First 那怎麼可以產生出好持續維護的 OpenAPI (Swagger) 文件作為溝通的 Contract 呢?API 開發完上線之後怎麼能夠確保安全,以及出錯如何追蹤問題呢?如果只是單純的 DB 異動的 CRUD 需要建立後端 API 嗎?隨著 API 數量變多怎麼收攏所有有提供的 API 呢?
在這場,我們來看一下針對一些 API First 遇到的問題,微軟提供了那些解決方案給我們。
This document discusses using a cloud-based CRM (customer relationship management) system from Salesforce.com to manage sales, marketing, customer service, and reporting. It covers generating and qualifying leads, planning marketing campaigns, tracking opportunities and the sales pipeline, managing accounts and customers, and collaborating across departments. The CRM system provides tools to capture leads from various sources, route them to sales reps, automate follow-up processes, and analyze results to improve performance over time.
This document provides a summary of the key capabilities of cloud-based CRM using Salesforce.com. It discusses how Salesforce allows users to manage customer data and collaborate on accounts, leads, opportunities, and activities. It also describes how Salesforce supports sales, marketing, customer service and knowledge management through features like reports, dashboards and customization options.
This document discusses features of a cloud-based customer relationship management (CRM) system for managing customer service and knowledge. It describes how the CRM allows customers to log cases, view case status, search knowledge bases for solutions, and view reports and dashboards. It also discusses how the system streamlines the case resolution process, provides a customer portal for self-service support, and enables reports and dashboards.