Google Cloud

Launching into Machine Learning

This course is part of multiple programs.

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Gain insight into a topic and learn the fundamentals.
4.6

(4,312 reviews)

Beginner level
No prior experience required
Flexible schedule
Approx. 14 hours
Learn at your own pace
90%
Most learners liked this course
Gain insight into a topic and learn the fundamentals.
4.6

(4,312 reviews)

Beginner level
No prior experience required
Flexible schedule
Approx. 14 hours
Learn at your own pace
90%
Most learners liked this course

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 assignments

Taught in English

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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 assignment2 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 assignment1 app item

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

What's included

5 videos1 reading1 assignment

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

What's included

7 videos1 reading1 assignment1 app item

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

What's included

12 videos1 reading1 assignment

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 assignment

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

What's included

4 readings

Instructor

Instructor ratings
4.7 (280 ratings)
Google Cloud Training
Google Cloud
1,681 Courses2,790,916 learners

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Google Cloud

Recommended if you're interested in Machine Learning

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4.6

4,312 reviews

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