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Review

The course is part of this learning path

Introduction to Machine Learning on AWS
course-steps 4 certification 1 lab-steps 2

Contents

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Introduction to Machine Learning on AWS Learning Path
1
Review
FREE2m 10s
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Review
Overview
Transcript
DifficultyBeginner
Duration2m
Students176

Description

This course provides a quick review and summary for what was learnt during the "Introduction to Machine Learning on AWS" Learning Path.

About the Author

Students9129
Labs26
Courses58
Learning paths13

Jeremy is the DevOps Content Lead at Cloud Academy where he specializes in developing technical training documentation for DevOps.

He has a strong background in software engineering, and has been coding with various languages, frameworks, and systems for the past 20+ years. In recent times, Jeremy has been focused on DevOps, Cloud, Security, and Machine Learning.

Jeremy holds professional certifications for both the AWS and GCP cloud platforms.
 

Congratulations on completing the "Introduction to Machine Learning on AWS" Learning Path!

We hope you found this content both informative and engaging. Before we finish, we'll provide a quick recap of the concepts we've covered. 

We introduced you to basic Machine Learning Concepts. We discussed the differences between supervised learning and unsupervised learning. We talked about the different types of problems machine learning can be used to solve. For example, problems related to regression, or classification, or clustering, etc. 

We reviewed several of the most common and popular Machine Learning algorithms. Then we provided the basic introduction to deep learning and deep Neural Networks. 

We then provided you with an introduction to the Amazon Machine Learning service, and how it can be used to guide you through the process of creating Machine Learning models without having to learn complex Machine Learning algorithms and/or technology. 

Next, you had the opportunity to perform a hands-on lab using the Amazon Machine Learning service. Creating a predictive model for Forecasting Flight Delays. Following on from this, another hands-on lab was provided. To highlight the importance of leveraging GPUs for machine learning. 

And finally, you are able to build and train your very own MXNet Neural Network to Style Images. And another of their labs. 

Okay, so that brings this learning path to a close. We suggest you perform a final assessment exam if you haven't done so already. This will give you an idea as to which areas you might need to continue or review. Please feel free to contact us at support@cloudacademy.com if you have any questions, and/or comments. 

Congratulations again on completing this Learning Path.

You're well on your way to mastering Machine Learning on the AWS platform!