Google Cloud

Launching into Machine Learning

This course is part of multiple programs.

Taught in English

49,725 already enrolled

Included with Coursera Plus

Course

Gain insight into a topic and learn the fundamentals

4.6

(4,276 reviews)

|

90%

Beginner level
No prior experience required
14 hours (approximately)
Flexible schedule
Learn at your own pace

What you'll learn

  • Describe how to improve data quality and perform exploratory data analysis

  • Build and train AutoML Models using Vertex AI and BigQuery ML

  • Optimize and evaluate models using loss functions and performance metrics

  • Create repeatable and scalable training, evaluation, and test datasets

Details to know

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Assessments

6 quizzes

Course

Gain insight into a topic and learn the fundamentals

4.6

(4,276 reviews)

|

90%

Beginner level
No prior experience required
14 hours (approximately)
Flexible schedule
Learn at your own pace

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There are 8 modules in this course

This module provides an overview of the course and its objectives.

What's included

1 video

In this module, we look at how to improve the quality of our data and how to explore our data by performing exploratory data analysis. We look at the importance of tidy data in Machine Learning and show how it impacts data quality. For example, missing values can skew our results. You will also learn the importance of exploring your data. Once we have the data tidy, you will then perform exploratory data analysis on the dataset.

What's included

9 videos1 reading1 quiz2 app items

In this module, we will introduce some of the main types of machine learning so that you can accelerate your growth as an ML practitioner.

What's included

6 videos1 reading1 quiz1 app item

In this module, we will introduce training AutoML Models using Vertex AI.

What's included

5 videos1 reading1 quiz

In this module, we will introduce BigQuery ML and its capabilities.

What's included

7 videos1 reading1 quiz1 app item

In this module we will walk you through how to optimize your ML models.

What's included

12 videos1 reading1 quiz

Now it’s time to answer a rather weird question: when is the most accurate ML model not the right one to pick? As we hinted at in the last module on Optimization -- simply because a model has a loss metric of 0 for your training dataset does not mean it will perform well on new data in the real world. You will learn how to create repeatable training, evaluation, and test datasets and establish performance benchmarks.

What's included

5 videos1 reading1 quiz

This module is a summary of the Launching into Machine Learning course

What's included

4 readings

Instructor

Instructor ratings
4.7 (271 ratings)
Google Cloud Training
Google Cloud
1,397 Courses2,572,606 learners

Offered by

Google Cloud

Recommended if you're interested in Machine Learning

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Learner reviews

Showing 3 of 4276

4.6

4,276 reviews

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  • 1 star

    0.65%

RP
5

Reviewed on Apr 26, 2020

SS
5

Reviewed on Dec 3, 2018

ME
5

Reviewed on May 3, 2021

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