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Amazon SageMaker Reading and Resource List

Amazon SageMaker is a fully managed service that provides developers and data scientists with the ability to build, train, and deploy machine learning (ML) models. In this reading and resource list I provide a collection of curated open access resources on Amazon SageMaker. Curation of this list involved assessing 11 resources:

  • 5 resources were accepted.
  • 6 resources were rejected.

The 5 resources that were accepted were accurate, met inclusiveness expectations, did not require unrelated prior knowledge, and contained current information. If you think I missed a resource, or have any comments about this list or anything on it, please email me at [email protected], submit a pull request, or raise a GitHub issue to let me know.

VIDEOS

(VIDEO) AWS SageMaker in 10 Minutes! (Artificial Intelligence & Machine Learning with Amazon Web Services)

Stemplicity
https://www.youtube.com/watch?v=pfjhNe1M2t4
00:10:46

  • Gives a tour of Amazon SageMaker in the AWS console.
  • Describes the steps in the Amazon SageMaker pipeline at a high-level.
  • Describes the various data labelling options in Amazon SageMaker.
  • Demonstrates how to set up a training job in Amazon SageMaker.
  • Gives a tour of the Amazon SageMaker options available in the AWS Marketplace.

(VIDEO) Amazon SageMaker Demo

Marc McLean
https://www.youtube.com/watch?v=jOMEf7iabng
18:08

  • Describes what SageMaker is.
  • Demonstrates how to set up a SageMaker instance.
  • Demonstrates how to adjust a Jupyter notebook for training.
  • Demonstrates how to delete a SageMaker instance and its related artifacts.

Note: Price data mentioned in video may be out of date.

(VIDEO) Getting Started With AWS SageMaker

J. Weathers & Deep Learning Team
https://www.youtube.com/watch?v=tBRHh_V8vjc
9:30

  • Demonstrates how to deploy a SageMaker instance.

CONFERENCE VIDEOS

(VIDEO) AWS re:Invent 2017 - Introducing Amazon SageMaker

Andy Jassy & Amazon Web Services
https://www.youtube.com/watch?v=lM4zhNO5Rbg
00:07:46

  • Desribes what SageMaker is.
  • Discusses the pieces and features of SageMaker at its launch in 2017.

BLOG POSTS

(BLOG) Detecting fraud in games using machine learning

Amazon Game Tech Team
https://aws.amazon.com/blogs/gametech/fraud-detection-for-games-using-machine-learning/

  • Describes the challenges with detecting fraud in video games.
  • Provides an architecture diagram and description for a machine learning-based fraud detection solution.

If this list of resources did not answer your questions or satisfy your learning needs, please review the official Amazon SageMaker documentation (https://docs.aws.amazon.com/sagemaker/latest/dg/whatis.html). If you do find the answer and create your own material for others to learn from, I'd be happy to consider adding your content to this resource list.