Implementing AI With Amazon ML
Amazon ML 2020
| Expert
- 15 videos | 38m 35s
- Includes Assessment
- Earns a Badge
Amazon offers AI developers a wide variety of tools and frameworks including Amazon Web Services (AWS) and the Amazon Machine Learning (ML) framework. By integrating complex machine and deep learning development with the extensive computing capabilities of Amazon, Amazon ML allows AI developers to adopt big data AI services. With many companies actively using AWS and Amazon ML, a basic knowledge of this framework is beneficial. In this course, you'll learn how to use Amazon ML together with AWS, to work with big data, and to create machine and deep learning models. You'll also examine the basics of automated model deployment with Amazon SageMaker. Next, you'll explore how to use Amazon ML for image and video analysis, text-to-speech translation, and text analytics. Finally, you'll implement a system to analyze movie review sentiment using the Amazon ML framework.
WHAT YOU WILL LEARN
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Discover the key concepts covered in this courseDescribe the amazon ml framework and which features facilitate the implementation of aiRecognize the simplicity of using big data for ai development through amazon mlOutline the key benefits of using amazon ml for ai developmentCompare the main features of aws with amazon ml and define how to use amazon ml with awsContrast amazon ml with other frameworks and identify the advantages and disadvantages of using amazon ml in ai developmentDescribe how to create machine learning models using amazon mlIllustrate how to create deep learning models using amazon ml
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Outline how to use amazon sagemaker for automated machine learning model deploymentGive examples of how the amazon ml rekognition toolkit is used for image and video analysisGive examples of how the amazon ml polly toolkit is used for text-to-speech translationGive examples of how the amazon ml comprehend toolkit is used for text analyticsFind key documents and resources for in-depth information about the amazon ml frameworkWork with the amazon ml framework to implement movie review sentiment analysisSummarize the key concepts covered in this course
IN THIS COURSE
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1m 28s
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2m 4sUpon completion of this video, you will be able to describe the Amazon ML Framework and which features facilitate the implementation of AI. FREE ACCESS
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2m 10sAfter completing this video, you will be able to recognize the simplicity of using Amazon ML for big data development. FREE ACCESS
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2m 39sIn this video, you will outline the key benefits of using Amazon ML for AI development. FREE ACCESS
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1m 59sIn this video, you will compare the main features of AWS with Amazon ML and learn how to use Amazon ML with AWS. FREE ACCESS
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2m 43sIn this video, you will compare Amazon ML with other frameworks and identify the advantages and disadvantages of using Amazon ML in AI development. FREE ACCESS
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2m 55sUpon completion of this video, you will be able to describe how to create machine learning models using Amazon ML. FREE ACCESS
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3m 37sAfter completing this video, you will be able to illustrate how to create deep learning models using Amazon ML. FREE ACCESS
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2m 42sIn this video, you will learn how to use Amazon SageMaker for automated machine learning model deployment. FREE ACCESS
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3m 26sIn this video, you will give examples of how the Amazon ML Rekognition toolkit can be used for image and video analysis. FREE ACCESS
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3m 14sIn this video, you will give examples of how the Amazon ML Polly toolkit is used for text-to-speech translation. FREE ACCESS
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3mIn this video, you will give examples of how to use the Amazon ML Comprehend toolkit for text analytics. FREE ACCESS
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51sIn this video, you will find key documents and resources for in-depth information about the Amazon ML framework. FREE ACCESS
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5m 9sIn this video, find out how to work with the Amazon ML framework to implement sentiment analysis of movie reviews. FREE ACCESS
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39sIn this video, we will summarize the key concepts covered in this course. FREE ACCESS
EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE
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