AWS SageMaker is an Amazon Web Services product designed to make machine learning services easier and more effective. With this, AWS SageMaker Simplifies complex development and maintenance steps while making it easier to create machine learning-based applications such as Dynamics Learning, Text Categorization, Content Recommendations, Natural Language Processing and more. AWS SageMaker Specialists allows businesses to build, train and deploy models in cloud environments securely and quickly. By providing an interface with insights into the model development process, AWS SageMaker Specialists are able to help businesses develop the best models for their needs that are custom fit for their data.
Here's some projects that our expert AWS SageMaker Specialist made real:
- Building accurate AI models from complex datasets
- Implementing Auto ML solutions for feature engineering, optimization and deployment
- Training machines with deep learning networks to draw powerful insights from large data
- Creating next generation text analytics systems from unstructured data
- Developing cloud based solutions with serverless computing technology such as Amazon Sagemaker
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As demonstrated by these examples of completed projects on Freelancer.com, businesses can hire expert AWS SageMaker Specialists who provide quick solutions using cutting edge technology such as serverless computing. Get started today by posting your own project and hire an AWS SageMaker Specialist on Freelancer.com - they're reliable, affordable and can help you unlock the potential of your valuable data to stay ahead of the competition all without consuming resources required for in-house development!Sur 1,578 commentaires, les clients ont évalué nos AWS SageMaker Specialists 4.88 sur 5 étoiles.
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In the healthcare sector, efficient transcription of dictated content is essential. The proposed solution offers rapid transcription with a manual correction mechanism, learning from corrections to enhance future transcriptions. This aims to be a website with the next key features: - Automated Transcription: Uses multiple transcription providers. Dropbox Integration: Central repository for file storage and processing. S3 bucket from AWS aswell could be a choice. - Manual Correction Interface: Allows user corrections, aiding system learning and the possibility to edit the transcriptions from the mp3 or mp4 files that are uploaded. - User Experience: User-friendly interface for easy navigation. - Scalability: Handles increasing volumes efficiently. - Multi-Speaker Identification diff...
I have this CI/CD pipeline, where I post my code into github, and the code is automatically compiled, built and deployed. The backend goes to APIGateway, and the frontend goes to cloud front. The frontend has an HTML file that calls the API from apigateway and renders the output on web via jquery. This CI/CD pipeline is broken for some reason. I need somebody to review github and AWs for me and fix it
I want to create Gen AI poc using AWS services as explained here - Github code also available - If you already used this and worked then you can quickly showme and help running