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Sia Chee Zhen

Member since 2021

Silver League

11400 points
使用 Cloud Vision API 分析圖片 Earned Jul 29, 2023 EDT
在 Google Cloud 為機器學習 API 準備資料 Earned Jul 29, 2023 EDT
在 Compute Engine 導入 Cloud Load Balancing Earned Jul 29, 2023 EDT
Intermediate ML: TensorFlow on Google Cloud Earned Jul 28, 2023 EDT
透過 Google Cloud 建構網站 Earned Jul 28, 2023 EDT
Managing Cloud Infrastructure with Terraform Earned Jul 25, 2023 EDT
Building No-Code Apps with AppSheet: Foundations Earned Feb 1, 2023 EST
DEPRECATED BigQuery Basics for Data Analysts Earned Nov 9, 2021 EST
使用 BigQuery 進行機器學習 Earned Nov 9, 2021 EST
Intro to ML: Image Processing Earned Nov 9, 2021 EST
基本概念:資料、機器學習和 AI Earned Nov 7, 2021 EST
運用 BigQuery ML 建立機器學習模型 Earned Nov 5, 2021 EDT
從 BigQuery 資料取得深入分析結果 Earned Oct 30, 2021 EDT

完成使用 Cloud Vision API 分析圖片課程,即可獲得技能徽章。本課程說明如何運用 Cloud Vision API 執行各種工作,包括擷取圖片中的文字。

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完成 在 Google Cloud 為機器學習 API 準備資料 技能徽章入門課程,即可證明您具備下列技能: 使用 Dataprep by Trifacta 清理資料、在 Dataflow 執行資料管道、在 Managed Service for Apache Spark 建立叢集和執行 Apache Spark 工作,以及呼叫機器學習 API,包含 Cloud Natural Language API、Google Cloud Speech-to-Text API 和 Video Intelligence API。

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完成「在 Compute Engine 導入 Cloud Load Balancing」技能徽章入門課程,即可證明您具備下列技能: 在 Compute Engine 建立及部署虛擬機器, 以及設定網路和應用程式負載平衡器。

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TensorFlow is an open source software library for high performance numerical computation that's great for writing models that can train and run on platforms ranging from your laptop to a fleet of servers in the Cloud to an edge device. This quest takes you beyond the basics of using predefined models and teaches you how to build, train and deploy your own on Google Cloud.

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完成透過 Google Cloud 建構網站技能徽章課程,即可獲得入門級技能徽章。 本課程以 Get Cooking in Cloud 系列影片為基礎, 涵蓋以下主題:在 Cloud Run 部署網站在 Compute Engine 託管網頁應用程式在 Google Kubernetes Engine 建立、 部署及擴充網站使用 Cloud Build 將單體式應用程式遷移至微服務架構

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In this Quest, the experienced user of Google Cloud will learn how to describe and launch cloud resources with Terraform, an open source tool that codifies APIs into declarative configuration files that can be shared amongst team members, treated as code, edited, reviewed, and versioned. In these nine hands-on labs, you will work with example templates and understand how to launch a range of configurations, from simple servers, through full load-balanced applications.

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In this course you will learn the fundamentals of no-code app development and recognize use cases for no-code apps. The course provides an overview of the AppSheet no-code app development platform and its capabilities. You learn how to create an app with data from spreadsheets, create the app’s user experience using AppSheet views and publish the app to end users.

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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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不想花費大把時間,想在幾分鐘內只靠 SQL,就建立好機器學習模型嗎?透過 BigQuery ML,資料分析師可以運用現有的 SQL 工具和技巧,建立、訓練、評估模型, 並使用模型進行預測,降低機器學習的使用門檻。在 本系列的實驗室,您會測試不同類型的模型,瞭解 優良模型應具備的條件。

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Using large scale computing power to recognize patterns and "read" images is one of the foundational technologies in AI, from self-driving cars to facial recognition. The Google Cloud Platform provides world class speed and accuracy via systems that can utilized by simply calling APIs. With these and a host of other APIs, GCP has a tool for just about any machine learning job. In this introductory quest, you will get hands-on practice with machine learning as it applies to image processing by taking labs that will enable you to label images, detect faces and landmarks, as well as extract, analyze, and translate text from within images.

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大數據、機器學習和人工智慧 (AI) 是時下熱門的 電腦相關話題,但這些領域相當專業,就算想要入門 也難以取得教材或資料。幸好,Google Cloud 提供了此領域的多種服務,而且容易使用。 參加這堂入門課程,您就能踏出第一步, 開始學習運用 BigQuery、Cloud Speech API 以及 Video Intelligence 等工具。

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完成「運用 BigQuery ML 建立機器學習模型」技能徽章中階課程,即可證明您具備下列技能: 可使用 BigQuery ML 建立及評估機器學習模型,並根據資料進行預測。

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完成 從 BigQuery 資料取得深入分析結果 技能徽章入門課程,即可證明您具備下列技能: 撰寫 SQL 查詢、查詢公開資料表、將樣本資料載入 BigQuery、使用 BigQuery 的查詢驗證工具 排解常見語法錯誤,以及在 Data Studio 中 透過連結 BigQuery 資料建立報表。

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