This lesson will show how you can use SQL to create your own machine learning models and make predictions.
Learning Objectives
- Create your own machine learning models using BigQuery
- Evaluate the performance of those models
- Make predictions with those models
Intended Audience
- Data Engineers
- Machine Learning Engineers
- Anyone preparing for a Google Cloud certification
Prerequisites
- Familiar with BigQuery
- Comfortable with SQL syntax
- Understand the basics of machine learning
- Access to a GCP account
Hello and welcome to “Introduction to Google BigQuery ML”. My name is Daniel Mease, and I am a trainer at Cloud Academy with over 20 years of software and web development experience.
This lesson is suitable for:
- Data Engineers
- Machine Learning Engineers
- Anyone preparing for a Google Cloud certification
By completing this lesson, you will learn how to:
- Create your own machine learning models using BigQuery
- Evaluate the performance of those models
- Make predictions with those models
The following prerequisites will be helpful:
- Familiar with BigQuery
- Comfortable with SQL syntax
- Understand the basics of machine learning
- Access to a GCP account
Please note that, when this video was recorded, all information was accurate. However, Google is constantly updating its products and services as part of its ongoing drive to innovate. This means that, over time, minor discrepancies may appear. Here at Cloud Academy, we strive to keep our content up to date in order to provide you the best training available. So, if you notice that any information has become outdated, please let us know by contacting: support@cloudacademy.com.
Daniel began his career as a Software Engineer, focusing mostly on web and mobile development. After twenty years of dealing with insufficient training and fragmented documentation, he decided to use his extensive experience to help the next generation of engineers.
Daniel has spent his most recent years designing and running technical classes for both Amazon and Microsoft. Today at Cloud Academy, he is working on building out an extensive Google Cloud training library.
When he isn’t working or tinkering in his home lab, Daniel enjoys BBQing, target shooting, and watching classic movies.