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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Shareable Certificate
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100% online
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Course 4 of 4 in the
Beginner Level
Approx. 7 hours to complete
English
Subtitles: English
What you will learn
Understand 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
Flexible deadlines
Reset deadlines in accordance to your schedule.
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Course 4 of 4 in the
Beginner Level
Approx. 7 hours to complete
English
Subtitles: English
Offered by
Google Cloud
We help millions of organizations empower their employees, serve their customers, and build what’s next for their businesses with innovative technology created in—and for—the cloud. Our products are engineered for security, reliability, and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping customers apply our technologies to create success.
Syllabus - What you will learn from this course
1 minute to complete
Introduction
Overview of what you will learn in this course
1 minute to complete
1 video (Total 1 min)
20 minutes to complete
Introduction to Machine Learning
In this module, 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.
20 minutes to complete
6 videos (Total 20 min)
2 hours to complete
Pre-trained ML APIs
In this module we will dive into pre-built and pre-trained ML models that we can access (like image recognition and sentiment analysis) within Cloud Datalab.
2 hours to complete
4 videos (Total 16 min)
1 hour to complete
Creating ML Datasets in BigQuery
Understand how to create ML datasets with BigQuery.
1 hour to complete
6 videos (Total 19 min)
4 hours to complete
Creating ML Models in BigQuery
In this module, you will learn how to create machine learning models directly inside of BigQuery. You will learn the new syntax and work through the phases of building, evaluating, and testing an ML model.
4 hours to complete
4 videos (Total 25 min), 2 readings, 3 quizzes
3 minutes to complete
End of Course Recap
You've made it to the end! Let's review the lessons learned in the course and what resources are available for continued learning.
3 minutes to complete
1 video (Total 3 min)
Reviews
- 5 stars77.42%
- 4 stars18.63%
- 3 stars3.17%
- 2 stars0.38%
- 1 star0.38%
TOP REVIEWS FROM APPLYING MACHINE LEARNING TO YOUR DATA WITH GOOGLE CLOUD
by DAJan 28, 2021
Really excellently taught course, with really engaging instruction from Evan, super high quality videos and labs and great introduction to ML using GCP
by SMApr 9, 2018
This was a great course in going beyond the lecture to applying the concepts of creating, training, testing and deploying a machine learning model
by ASJul 21, 2020
Applying Machine Learning to your Data with GCP it is nice and it is new thing i have learned in my life and also it is good and very use full
by AKSep 3, 2019
Good Course to Understand the basics of Big query and running ML using Big query
About the From Data to Insights with Google Cloud Specialization
Want to know how to query and process petabytes of data in seconds? Curious about data analysis that scales automatically as your data grows? Welcome to the Data Insights course!
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