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.
This course is part of the From Data to Insights with Google Cloud Specialization
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About this Course
Could your company benefit from training employees on in-demand skills?
Try Coursera for BusinessWhat you will learn
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
Skills you will gain
- Bigquery
- Machine Learning
- Google Cloud Platform
- Cloud Computing
Could your company benefit from training employees on in-demand skills?
Try Coursera for BusinessOffered by
Syllabus - What you will learn from this course
Introduction
Introduction to Machine Learning
Pre-trained ML APIs
Creating ML Datasets in BigQuery
Creating ML Models in BigQuery
End of Course Recap
Reviews
- 5 stars77.19%
- 4 stars18.85%
- 3 stars3.23%
- 2 stars0.35%
- 1 star0.35%
TOP REVIEWS FROM APPLYING MACHINE LEARNING TO YOUR DATA WITH GOOGLE CLOUD
This was a great course in going beyond the lecture to applying the concepts of creating, training, testing and deploying a machine learning model
It would be nice if the labs had additional/different code then the one explained over the videos.
Enjoyed. I would add more in-depth ML part for BigQuery and different scenario. it also good to explain metric how and how to choose right features etc
The course is simple, but for better use, it is important to have a minimum knowledge of Google Cloud tools.
About the From Data to Insights with Google Cloud Specialization

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