Difference between revisions of "SageMaker"

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[[http://www.youtube.com/results?search_query=sagemaker+aws+tutorial&sp=EgIIBA%253D%253D YouTube search...]]
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{{#seo:
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|title=PRIMO.ai
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|titlemode=append
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|keywords=artificial, intelligence, machine, learning, models, algorithms, data, singularity, moonshot, Tensorflow, Google, Nvidia, Microsoft, Azure, Amazon, AWS
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|description=Helpful resources for your journey with artificial intelligence; videos, articles, techniques, courses, profiles, and tools
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}}
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[https://www.youtube.com/results?search_query=sagemaker+aws+amazon YouTube]
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[https://www.quora.com/search?q=sagemaker%20aws%20amazon ... Quora]
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[https://www.google.com/search?q=sagemaker+aws+amazon ...Google search]
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[https://news.google.com/search?q=sagemaker+aws+amazon ...Google News]
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[https://www.bing.com/news/search?q=sagemaker+aws+amazon&qft=interval%3d%228%22 ...Bing News]
  
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* DeepLens - deep learning enabled video camera
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* [[Platforms: AI/Machine Learning as a Service (AIaaS/MLaaS)]]
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* [[https://docs.aws.amazon.com/sagemaker/latest/dg/tf-examples.html AWS Documentation]]
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** [[SageMaker]]
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* [[Bedrock]] | [[Amazon]]
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* [[Hugging Face#LightGPT|LightGPT]] | [[Hugging Face]]
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* [[Foundation Models (FM)]]
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* [https://docs.aws.amazon.com/sagemaker/latest/dg/tf-examples.html Product page...]
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* [[DeepLens - deep learning enabled video camera]]
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* [[Amazon | Amazon AWS]]
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* [[Notebooks]]; [[Jupyter]] and R Markdown
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* [https://docs.aws.amazon.com/sagemaker/latest/dg/autopilot-automate-model-development-create-experiment.html Create an Amazon SageMaker Autopilot Experiment in SageMaker Studio]
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** [https://docs.aws.amazon.com/sagemaker/latest/dg/notebooks-sharing.html Sharing SageMaker notebooks]
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** [https://github.com/FINRAOS/CodeSamples/tree/master/machine-learning-samples/sagemaker SageMaker notebooks | Fintech]
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* [https://medium.com/@manasnarkar/sagemaker-how-to-build-machine-learning-pipeline-f485071498dd SageMaker : How to build your Machine Learning Pipeline | Manas Narkar - Medium]
  
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https://d2908q01vomqb2.cloudfront.net/da4b9237bacccdf19c0760cab7aec4a8359010b0/2017/11/29/please_work.png
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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 - GeekFlare]
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Major benefits of using Amazon Sagemaker are:
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* Readily available pre-built algorithms for use
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* Gives you a jump start with primary installations and setup did for you
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* Allows you to scale up quickly and train models faster
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* 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
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* A massive repository of high quality pre-trained data for training your models faster
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* Straightforward collaboration with fellow data scientists by sharing the web platform
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== Getting Started ==
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* [https://aws.amazon.com/sagemaker/studio-lab/ 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.
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* [https://www.deeplearning.team Deep Learning Team | Jovon Weathers]
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<youtube>tBRHh_V8vjc</youtube>
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== More ==
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<youtube>4mgjsBb2P40</youtube>
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<youtube>HSTK-9r2WVM</youtube>

Latest revision as of 05:14, 15 June 2023

YouTube ... Quora ...Google search ...Google News ...Bing News


please_work.png

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 - GeekFlare

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

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