Applying Advanced LookML Concepts in Looker
Earned Mar 22, 2024 EDT
Developing Data Models with LookML
Earned Mar 22, 2024 EDT
Understanding LookML in Looker
Earned Mar 21, 2024 EDT
為 Looker 資訊主頁和報表準備資料
Earned Mar 21, 2024 EDT
Analyzing and Visualizing Data in Looker
Earned Mar 19, 2024 EDT
負責任的 AI 技術：透過 Google Cloud 採用 AI 開發原則
Earned Mar 19, 2024 EDT
負責任的 AI 技術簡介
Earned Mar 19, 2024 EDT
大型語言模型簡介
Earned Mar 19, 2024 EDT
生成式 AI 簡介
Earned Mar 19, 2024 EDT
本課程介紹的 Gemini 是採用生成式 AI 技術的協作工具，可協助分析客戶資料及預測產品銷售情形。您也會學習如何在 BigQuery 中使用客戶資料識別、分類及開發新客戶。透過使用實作研究室，您可以體驗 Gemini 如何改良資料分析和機器學習工作流程。
Duet AI 已更名為 Gemini，這是我們的新一代模型。
了解详情
In this course, you will get hands-on experience applying advanced LookML concepts in Looker. You will learn how to use Liquid to customize and create dynamic dimensions and measures, create dynamic SQL derived tables and customized native derived tables, and use extends to modularize your LookML code.
了解详情
This course empowers you to develop scalable, performant LookML (Looker Modeling Language) models that provide your business users with the standardized, ready-to-use data that they need to answer their questions. Upon completing this course, you will be able to start building and maintaining LookML models to curate and manage data in your organization’s Looker instance.
了解详情
In this quest, you will get hands-on experience with LookML in Looker. You will learn how to write LookML code to create new dimensions and measures, create derived tables and join them to Explores, filter Explores, and define caching policies in LookML.
In this course, you learn how to do the kind of data exploration and analysis in Looker that would formerly be done primarily by SQL developers or analysts. Upon completion of this course, you will be able to leverage Looker's modern analytics platform to find and explore relevant content in your organization’s Looker instance, ask questions of your data, create new metrics as needed, and build and share visualizations and dashboards to facilitate data-driven decision making.
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隨著企業持續擴大使用人工智慧和機器學習，以負責任的方式發展相關技術也日益重要。對許多企業來說，談論負責任的 AI 技術可能不難，如何付諸實行才是真正的挑戰。如要瞭解如何在機構中導入負責任的 AI 技術，本課程絕對能助您一臂之力。
您可以從中瞭解 Google Cloud 目前採取的策略、最佳做法和經驗談，協助貴機構奠定良好基礎，實踐負責任的 AI 技術。
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這個入門微學習課程主要介紹「負責任的 AI 技術」和其重要性，以及 Google 如何在自家產品中導入這項技術。本課程也會說明 Google 的 7 個 AI 開發原則。
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這是一堂入門級的微學習課程，旨在探討大型語言模型 (LLM) 的定義和用途，並說明如何調整提示來提高 LLM 成效。此外，也會介紹多項 Google 工具，協助您自行開發生成式 AI 應用程式。
了解详情
這個入門微學習課程主要說明生成式 AI 的定義和使用方式，以及此 AI 與傳統機器學習方法的差異。本課程也會介紹各項 Google 工具，協助您開發自己的生成式 AI 應用程式。
使用 Gemini：數據資料學家和分析師
Earned Apr 2, 2024 EDT
Applying Advanced LookML Concepts in Looker
Earned Mar 22, 2024 EDT
Developing Data Models with LookML
Earned Mar 22, 2024 EDT
Understanding LookML in Looker
Earned Mar 21, 2024 EDT
為 Looker 資訊主頁和報表準備資料
Earned Mar 21, 2024 EDT
Analyzing and Visualizing Data in Looker
Earned Mar 19, 2024 EDT
負責任的 AI 技術：透過 Google Cloud 採用 AI 開發原則
Earned Mar 19, 2024 EDT
負責任的 AI 技術簡介
Earned Mar 19, 2024 EDT
大型語言模型簡介
Earned Mar 19, 2024 EDT
生成式 AI 簡介
Earned Mar 19, 2024 EDT