ML は、IT 分野で最も急速に成長している技術の一つであり、Google Cloud Platform はその発展に大きく貢献してきました。 Google Cloud では多数の API により、ほぼすべての ML ジョブに対応するツールを提供しています。 この入門コースでは、ラボを通じて言語処理に活用できる ML の実践演習を行います。 これにより、テキストからのエンティティの抽出、 感情分析と構文解析、音声文字変換のための Speech-to-Text API の使用方法を学ぶことができます。
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In this series of labs you will learn how to use BigQuery to analyze NCAA basketball data with SQL. Build a Machine Learning Model to predict the outcomes of NCAA March Madness basketball tournament games.
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Cloud SQL is a fully managed database service that stands out from its peers due to high performance, seamless integration, and impressive scalability. In this quest you will receive hands-on practice with the basics of Cloud SQL and quickly progress to advanced features, which you will apply to production frameworks and application environments. From creating instances and querying data with SQL, to building Deployment Manager scripts and connecting Cloud SQL instances with applications run on GKE containers, this quest will give you the knowledge and experience needed so you can start integrating this service right away.
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With Google Assistant part of over a billion consumer devices, this quest teaches you how to build practical Google Assistant applications integrated with Google Cloud services via APIs. Example apps will use the Dialogflow conversational suite and the Actions and Cloud Functions frameworks. You will build 5 different applications that explore useful and fun tools you can extend on your own. No hardware required! These labs use the cloud-based Google Assistant simulator environment for developing and testing, but if you do have your own device, such as a Google Home or a Google Hub, additional instructions are provided on how to deploy your apps to your own hardware.
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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.
「Google Cloud の ML API 用にデータを準備」コースの入門スキルバッジを獲得できるアクティビティを修了すると、 Dataprep by Trifacta を使用したデータのクリーニング、Dataflow でのデータ パイプラインの実行、Dataproc でのクラスタの作成と Apache Spark ジョブの実行、 Cloud Natural Language API、Google Cloud Speech-to-Text API、Video Intelligence API などの ML API の呼び出しに関するスキルを証明できます。
ML 入門: 言語処理
Earned 7月 6, 2022 EDT
NCAA® March Madness®: Bracketology with Google Cloud
Earned 7月 5, 2022 EDT
Cloud SQL
Earned 7月 5, 2022 EDT
[DEPRECATED] OK Google: Build Interactive Apps with Google Assistant
Earned 7月 4, 2022 EDT
DEPRECATED BigQuery Basics for Data Analysts
Earned 6月 28, 2022 EDT
BigQuery のデータから分析情報を引き出す
Earned 6月 27, 2022 EDT
Understand Your Google Cloud Costs
Earned 6月 9, 2022 EDT
Google Cloud ネットワークの構築
Earned 6月 8, 2022 EDT
Google Cloud の ML API 用にデータを準備
Earned 6月 8, 2022 EDT
クラウド エンジニアリング
Earned 6月 8, 2022 EDT
ベースライン: データ、ML、AI
Earned 6月 8, 2022 EDT
ベースライン: インフラストラクチャ
Earned 6月 8, 2022 EDT
Google Cloud Essentials
Earned 6月 8, 2022 EDT
Google Cloud におけるアプリ開発環境の設定
Earned 6月 5, 2022 EDT
Compute Engine でのロード バランシングの実装
Earned 6月 5, 2022 EDT