本課程示範將 Google Cloud 服務和工具 與 Workspace 應用程式整合後所能帶來的強大功能。您將使用 BigQuery API、Apps Script、試算表和簡報， 直接連結 Google Cloud 資料來源， 以便收集、分析和呈現資料。
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大家都知道，機器學習是發展最快的科技領域之一， 而 Google Cloud Platform 在這方面功不可沒。 GCP 提供多種 API，凡是與機器學習相關的任務，幾乎都能處理。您將在本入門課程的 實驗室，實際演練機器學習技術 在語言處理方面的應用，學會如何從文中擷取實體資訊、 執行情緒和語法分析，並使用 Speech-to-Text API 轉錄語音。
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Want to scale your data analysis efforts without managing database hardware? Learn the best practices for querying and getting insights from your data warehouse with this interactive series of BigQuery labs. BigQuery is Google's fully managed, NoOps, low cost analytics database. With BigQuery you can query terabytes and terabytes of data without having any infrastructure to manage or needing a database administrator. BigQuery uses SQL and can take advantage of the pay-as-you-go model. BigQuery allows you to focus on analyzing data to find meaningful insights.
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This introductory-level quest shows application developers how the Google Cloud ecosystem could help them build secure, scalable, and intelligent cloud native applications. You learn how to develop and scale applications without setting up infrastructure, run data analytics, gain insights from data, and develop with pre-trained ML APIs to leverage machine learning even if you are not a Machine Learning expert. You will also experience seamless integration between various Google services and APIs to create intelligent apps.
Workspace：資料整合服務
Earned Jun 26, 2022 EDT
機器學習簡介：語言處理
Earned Jun 26, 2022 EDT
DEPRECATED BigQuery Basics for Data Analysts
Earned Jun 25, 2022 EDT
Google Developer Essentials
Earned Jun 25, 2022 EDT
為 Looker 資訊主頁和報表準備資料
Earned Jun 20, 2022 EDT
在 Google Cloud 設定應用程式開發環境
Earned Jun 16, 2022 EDT
基本概念：資料、機器學習和 AI
Earned Jun 16, 2022 EDT
在 Compute Engine 導入 Cloud Load Balancing
Earned Jun 15, 2022 EDT
基本概念：基礎架構
Earned Jun 13, 2022 EDT
Google Cloud 必備知識
Earned Jun 11, 2022 EDT