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.
Course Info
Objectives
- 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
Prerequisites
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
Audience
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
Available languages
English, 日本語, español (Latinoamérica), français ve português (Brasil)
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Coursera ve Pluralsight'taki Google Cloud içeriklerini keşfedin
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