Видео с ютуба Aim404-R

AWS re:Invent 2018: Build & Deploy ML Models Quickly & Easily with Amazon SageMaker (AIM404-R)

AWS re:Invent 2018: Build & Deploy ML Models Quickly & Easily with Amazon SageMaker (AIM404)

AWS re:Invent 2018: Build & Deploy ML Models Quickly & Easily with Amazon SageMaker (AIM404)

AWS Summit ATL 2022 - RStudio on Amazon SageMaker (AIM301)

AWS re:Invent 2020: Productionizing R workloads using Amazon SageMaker, featuring Siemens

AWS re:Invent 2018: Deep Learning Applications Using Apache MXNet, Featuring Workday (AIM407-R)

Amazon SageMaker’s Built-in Algorithm Webinar Series: Sequence2Sequence

ML Model Deployment Techniques using Amazon SageMaker Managed Deployment

AWS re:Invent 2019: Amazon.com automating machine learning deployments at scale (ARC340-R1)

Doorman Deeplens

Sagemaker notebook model building

Getting Started with Amazon SageMaker - Build, Train, and Deploy Machine Learning Models

AWS re:Invent 2020: Choose the right machine learning algorithm in Amazon SageMaker

Built-in Machine Learning Algorithms with Amazon SageMaker - a Deep Dive

PipelineAI + AWS SageMaker + Kubernetes + TensorFlow

AWS re:Invent 2017: Best Practices for Distributed Machine Learning and Predictive A (ABD403)

Amazon SageMaker’s Built-in Algorithm Webinar Series: Linear Learner

AWS re:Invent 2018: Deep Learning Applications Using PyTorch, Featuring Facebook (AIM402-R)

AWS re:Invent 2017 - Introducing Amazon SageMaker

AWS re:Invent 2018: Deep Learning Applications Using PyTorch, Featuring Facebook (AIM402-R1)