towardsdatascience... 2019/07/18
towardsdatascience... 2019/06/07 2019/04/13 2019/04/13 2019/02/13
towardsdatascience... 2018/07/29
engineering.upside... 2018/01/10
リポジトリ 2019/11/15

Amazon SageMaker operator for Kubernetes 2019/03/06

Case studies, examples, and exercises for learning to deploy ML models using AWS SageMaker. 2019/02/21

Generating Cat images using StyleGAN 2018/12/14

Neo-AI-DLR is a common runtime for machine learning models compiled by AWS SageMaker Neo, TVM, or TreeLite. 2018/11/05

This workshop demonstrates two methods of machine learning inference for global production using AWS Lambda and Amazon SageMaker 2018/06/26

Visual search implementation resources, including an explanatory Jupyter notebook and Amazon SageMaker and AWS DeepLens code. 2018/06/25

Sagemaker pipeline for AWS Summit New York 2018/05/30

Code and associated files for the deploying ML models within AWS SageMaker 2018/05/24

This example shows how to build a serverless pipeline to orchestrate the continuous training and deployment of a linear regression model for predicting housing prices using Amazon SageMaker, AWS Step Functions, AWS Lambda, and Amazon CloudWatch Events. 2018/03/03

Continuous Machine Learning Training and Deployment on AWS SageMaker 2018/03/01

Docker container for running PyTorch scripts to train and host PyTorch models on SageMaker 2018/02/26

Creates a CloudFormation template that uses AWS StepFunctions to automate the building and training of Sagemaker custom models based on S3 and GitHub events 2018/01/27

Sample code for AWS data service and ML courses on LinkedIn Learning 2018/01/25

This support code is used for making the MXNet framework run on Amazon SageMaker. 2018/01/23

This support code is used for making the TensorFlow framework run on Amazon SageMaker. 2017/12/18

Deep Learning Summer School + Tensorflow + OpenCV cascade training + YOLO + COCO + CycleGAN + AWS EC2 Setup + AWS IoT Project + AWS SageMaker + AWS API Gateway + Raspberry Pi3 Ubuntu Core 2017/11/16

A Spark library for Amazon SageMaker. 2017/11/14

A library for training and deploying machine learning models on Amazon SageMaker 2017/10/30

Training of deep learning models on AWS and GCP 2017/10/23

Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker

動画 2018/11/19

In this webinar which covers the Blazing Text algorithm used by Amazon SageMaker -, Pratap Ramamurthy, AWS Partner Solution ... 2018/11/19

In this webinar, Kris Skrinak, AWS Partner Solution Architect, will deep dive into time series forecasting with deep neural networks using Amazon SageMaker ... 2018/11/01

Register for our upcoming webinars at - This webinar focus on using Amazon SageMaker to achieve actionable predictions and create ... 2018/10/05

AWS Architect Certification Training - ** ) This Edureka 'AWS SageMaker' session will introduce you to nitty gritties of ... 2018/09/20

To learn more, please visit: Amazon SageMaker is a fully-managed platform that enables developers and data scientists to ... 2018/04/12

Learn more at - Amazon SageMaker is a fully-managed service that enables data scientists and developers to quickly and easily build, ... 2018/02/14

Check out the upcoming schedule, previous recordings, and links to the resources discussed at - Build a model to predict a time series ... 2017/12/31

Getting started with AWS SageMaker shows you how to launch a AWS instance. Define a IAM role for S3 access and we overview AWS Algorithms that are ... 2017/12/03

Amazon SageMaker is a fully-managed service that enables data scientists and developers to quickly and easily build, train, and deploy machine learning ... 2017/11/30

Amazon SageMaker is a fully managed end-to-end machine learning service that enables data scientists, developers, and machine learning experts to quickly ...



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