このコースでは、ML について定義し、ビジネスで ML をどのように活用できるのかを学習します。機械学習を使用したデモをいくつか確認し、機械学習の主な用語(インスタンス、特徴、ラベルなど)について学習します。インタラクティブなラボでは、事前トレーニング済みの ML API の呼び出しを実行するほか、BigQuery ML で SQL のみを使用して独自の ML モデルを構築します。
Applying Machine Learning to Your Data with GC - 日本語版
This course is part of From Data to Insights with Google Cloud 日本語版 Specialization
What you'll learn
ML の概要と ML をビジネスに活用する方法を説明する
事前トレーニング済みの ML モデルとカスタム ML モデルの違いを理解する
BigQuery で機械学習のデータセットを作成する
BigQuery で ML モデルを構築する
Details to know
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There are 6 modules in this course
本コースで学習する大まかな内容
What's included
1 video
このモジュールでは、機械学習について定義し、ビジネスで機械学習をどのように活用できるのかを学習します。ML を使用したデモをいくつか確認し、ML の主な用語(インスタンス、特徴、ラベルなど)について学習します。
What's included
6 videos1 quiz
このモジュールでは、Cloud Datalab 内で利用可能な事前構築済み、事前トレーニング済みの機械学習モデル(画像認識や感情分析など)について詳細を学習します。
What's included
4 videos2 readings1 quiz1 app item
BigQuery で ML データセットを作成する方法について学習します。
What's included
6 videos1 quiz1 app item
このモジュールでは、BigQuery 内で直接機械学習モデルを構築する方法を学習します。新しい構文を学習し、ML モデルの構築、評価、テストのフェーズを詳しく確認します。
What's included
3 videos1 reading1 quiz2 app items
これで終了です。コースで学習した内容を復習し、学習を継続するために利用できるリソースを確認しましょう。
What's included
1 video
Instructor
Offered by
Recommended if you're interested in Data Management
Google Cloud
Google Cloud
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