AWS SageMaker, Machine Learning and AI with Python [Video]

AWS SageMaker, Machine Learning and AI with Python [Video]

Chandra Lingam

Learn about cloud-based machine learning algorithms and how to integrate them with your applications
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Video Details

ISBN 13 9781789535976
Course Length 12 hours 58 minutes

Table of Contents

Conclusion

Video Description

This course is designed to make you an expert in AWS machine learning and it teaches you how to convert your cool ideas into highly scalable products in a matter of days. The biggest challenge for a data science professional is how to convert the proof-of-concept models into actual products that your customers can use. There are several courses on machine learning that teach you how to build models in R, Python, Matlab and so forth. However, converting a model into a scalable solution and integrating with your existing application requires a lot of effort and development. The real success of your ideas and concepts depends on how soon you can put the capabilities in the hands of your customers. With the AWS Machine Learning service, you can easily conduct experiments and test your concepts. Once you are happy, you can instantly scale them to support millions of requests. No separate development work is needed.

Style and Approach

This course is completely hands-on with examples using: AWS Web Console, Python Notebook Files, and Web clients built on AngularJS. You will also learn and integrate security into exercises using a variety of AWS provided capabilities including Cognito.

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What You Will Learn

  • Learn the AWS Machine Learning algorithms, Predictive quality assessment, Model optimization
  • Integrate predictive models with your application using simple and secure APIs
  • Convert your ideas into highly scalable products in days

Authors

Table of Contents

Conclusion

Video Details

ISBN 139781789535976
Course Length12 hours 58 minutes
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