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.
Applying Machine Learning to your Data with Google Cloud
Applying Machine Learning to your Data with Google Cloud
This course is part of From Data to Insights with Google Cloud Specialization
Instructor: Google Cloud Training
20,110 already enrolled
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Gain insight into a topic and learn the fundamentals.
4.7
(1,142 reviews)
Beginner level
No prior experience required
7 hours to complete
3 weeks at 2 hours a week
Flexible schedule
Learn at your own pace
What you'll 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'll gain
Details to know
Shareable certificate
Add to your LinkedIn profile
Assessments
4 assignments
Taught in English
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This course is part of the From Data to Insights with Google Cloud Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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There are 6 modules in this course
Overview of what you will learn in this course
What's included
1 video
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.
What's included
6 videos1 assignment
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.
What's included
4 videos1 assignment1 app item2 discussion prompts
Understand how to create ML datasets with BigQuery.
What's included
6 videos1 assignment1 app item
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.
What's included
3 videos1 reading1 assignment2 app items
You've made it to the end! Let's review the lessons learned in the course and what resources are available for continued learning.
What's included
1 video
Instructor
Instructor ratings
4.7 (157 ratings)Offered by
Recommended if you're interested in Data Management
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4.7
1,142 reviews
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Showing 3 of 1142
AK
5
Reviewed on Sep 3, 2019
Good Course to Understand the basics of Big query and running ML using Big query
LL
5
Reviewed on Aug 10, 2018
The instructor Evan is super great to rolling out machine learning in an easy /understandable way. hope he can tech more in-depth of machine learning.
SK
5
Reviewed on Aug 25, 2019
Excellent way to introduce to Google Big Query and Machine Learning Applications!
New to Data Management? Start here.
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Frequently asked questions
Yes, you can preview the first video and view the syllabus before you enroll. You must purchase the course to access content not included in the preview.
If you decide to enroll in the course before the session start date, you will have access to all of the lecture videos and readings for the course. You’ll be able to submit assignments once the session starts.
Once you enroll and your session begins, you will have access to all videos and other resources, including reading items and the course discussion forum. You’ll be able to view and submit practice assessments, and complete required graded assignments to earn a grade and a Course Certificate.