Difference between revisions of "SageMaker"
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| − | + | The platform provides a jump start to data scientists and AI developers to build their models, utilize the models from the community, and code right on the platform. Amazon Sagemaker provides you with a scalable cloud computing platform to build, train, and deploy machine learning models quickly. [https://geekflare.com/machine-learning-paas/ 7 Platform-as-a-Service (PaaS) for Machine Learning and AI Developers | Abhishek Kothari] | |
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| + | Major benefits of using Amazon Sagemaker are: | ||
| + | |||
| + | * Readily available pre-built algorithms for use | ||
| + | * Gives you a jump start with primary installations and setup did for you | ||
| + | * Allows you to scale up quickly and train models faster | ||
| + | * Provides popular Jupyter Notebook like interface to perform all relevant operations on a single platform | ||
| + | * Provides an auto-pilot functionality to auto train your models | ||
| + | * A massive repository of high quality pre-trained data for training your models faster | ||
| + | * Straightforward collaboration with fellow data scientists by sharing the web platform | ||
| + | |||
== Getting Started == | == Getting Started == | ||
Revision as of 14:24, 9 May 2023
YouTube search... ...Google search
- SageMaker Studio | Amazon, Vertex AI | Google ... Azure AI Platform | Microsoft ... Watsonx | IBM
- Bedrock | Amazon
- Foundation Models (FM)
- Product page...
- DeepLens - deep learning enabled video camera
- Amazon AWS
- Notebooks; Jupyter and R Markdown
- Create an Amazon SageMaker Autopilot Experiment in SageMaker Studio
- SageMaker : How to build your Machine Learning Pipeline | Manas Narkar - Medium
The platform provides a jump start to data scientists and AI developers to build their models, utilize the models from the community, and code right on the platform. Amazon Sagemaker provides you with a scalable cloud computing platform to build, train, and deploy machine learning models quickly. 7 Platform-as-a-Service (PaaS) for Machine Learning and AI Developers | Abhishek Kothari
Major benefits of using Amazon Sagemaker are:
- Readily available pre-built algorithms for use
- Gives you a jump start with primary installations and setup did for you
- Allows you to scale up quickly and train models faster
- Provides popular Jupyter Notebook like interface to perform all relevant operations on a single platform
- Provides an auto-pilot functionality to auto train your models
- A massive repository of high quality pre-trained data for training your models faster
- Straightforward collaboration with fellow data scientists by sharing the web platform
Getting Started
- SageMaker Studio Lab | Amazon; a free offering to assist developers master machine learning techniques and experimenting with the technology. Users get everything they need to start with Studio Lab, including a JupyterLab IDE, model training on CPUs and GPUs, and 15 GB of persistent storage.
- Deep Learning Team | Jovon Weathers
More
