AmazonSageMakerCourse
In this AWS Machine Learning Specialty Course, You will gain first-hand experience on how to train, optimize, deploy, and integrate ML in AWS cloud. Learn how to use AWS Built-in SageMaker algorithms and AI, How to Bring Your Own Algorithm, Zero Downtime Model Deployment Options, How to Integrate and Invoke ML from your Application, Automated Hyperparameter Tuning
How to download and setup AmazonSageMakerCourse
Open terminal and run command
git clone https://github.com/ChandraLingam/AmazonSageMakerCourse.git
git clone is used to create a copy or clone of AmazonSageMakerCourse repositories.
You pass git clone a repository URL. it supports a few different network protocols and corresponding URL formats.
Also you may download zip file with AmazonSageMakerCourse https://github.com/ChandraLingam/AmazonSageMakerCourse/archive/master.zip
Or simply clone AmazonSageMakerCourse with SSH
[email protected]:ChandraLingam/AmazonSageMakerCourse.git
If you have some problems with AmazonSageMakerCourse
You may open issue on AmazonSageMakerCourse support forum (system) here: https://github.com/ChandraLingam/AmazonSageMakerCourse/issuesSimilar to AmazonSageMakerCourse repositories
Here you may see AmazonSageMakerCourse alternatives and analogs
data-science-ipython-notebooks saws aws-doc-sdk-examples sensu-plugins-aws apex retinal up dev-setup zentral lambda-packs amazon-sagemaker-examples awesome-aws chalice serverless-application-model aws-sam-cli aws-mobile-react-native-starter serverless-express cloud-custodian serverless-chrome streamalert MoonMail aws-serverless-workshops archive_aws-lambda-go-shim dawson-cli archive_aws-lambda-go binaryalert lambda-packages aws-mobile-react-sample stopstalk-deployment serverless-typescript-starter