Applying Machine Learning to your Data with Google Cloud
Applying Machine Learning to your Data with Google Cloud
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In this course, we define what machine learning is and how it can benefit your business. You'll see a few demos of ML in action and learn key ML terms like instances, features, and labels. In the interactive labs, you will practice invoking the pretrained ML APIs available as well as build your own Machine Learning models using just SQL with BigQuery ML.
과정 정보
목표
- Explain what machine learning is and how it can benefit your business
- Differentiate between pre-trained and custom ML models
- Create machine learning datasets in BigQuery
- Create machine learning models in BigQuery
기본 요건
We recommend participants have some proficiency with ANSI SQL.
To get the most out of this course, participants must complete the prior courses in this specialization: Exploring and Preparing your Data; Storing and Visualizing your Data; Architecture and Performance
대상
Data Analysts, Business Analysts, Business Intelligence professionals
Cloud Data Engineers who will be partnering with Data Analysts to build scalable data solutions on Google Cloud Platform
사용할 수 있는 언어
English, 日本語, español (Latinoamérica), français, português (Brasil)
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과정을 완료한 후 학습 과정 에서 다른 콘텐츠를 살펴보거나 학습 카탈로그 를 둘러보면 됩니다.
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과정을 완료하면 이수 배지가 주어집니다. 배지는 프로필에 표시되며 사회 연결망에서 공유할 수 있습니다.
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Coursera 및 Pluralsight 에서 Google Cloud 콘텐츠를 살펴보세요.
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