Overview
Our "Jupyter Notebook/Lab" VM offering provides a robust, flexible, and user-friendly environment for data scientists, AI/ML professionals, and researchers. Leveraging the power of AWS cloud infrastructure, this solution is tailored to meet the demands of high-level data analysis, machine learning model development, and scientific computing.
Key Features:
Integrated Jupyter Environment: Experience the modern, extensible JupyterLab/notebook interface, enabling seamless multitasking with a modular layout for notebooks, text editors, terminals, and data visualization tools.
Comprehensive Toolset:
- TensorFlow & PyTorch: Dive into deep learning with these powerful libraries, ideal for building and training neural networks.
- Scikit-learn: Access a wide range of algorithms for classical machine learning tasks, from data preprocessing to model evaluation.
- Pandas & NumPy: Handle and manipulate large datasets efficiently with these essential libraries for data analysis and scientific computing.
- Matplotlib & Seaborn: Create compelling visualizations to interpret your data insights and model results effectively.
- NLTK & SpaCy: Explore natural language processing capabilities to analyze and understand text data.
- OpenCV: Engage in advanced image processing and computer vision projects.
High-Performance Computing: Powered by AWS scalable VMs, handle large datasets and complex computations with ease, ensuring your analyses and model training processes are swift and efficient.
Collaboration and Sharing: Easily share your Jupyter notebooks with collaborators, stakeholders, or the public. Facilitate teamwork with shared workspaces and version control integrations.
Secure and Reliable: Benefit from AWS robust security features, ensuring your data and intellectual property are well-protected in a compliant cloud environment.
Scalability and Flexibility: Scale your computing resources up or down based on project needs, optimizing for performance and cost.
Preconfigured Environment: Save time with a ready-to-use setup, eliminating the hassle of individual tool installations and configurations.
Ideal Use-Cases:
- Complex data analysis and visualization
- Machine learning model development and testing
- Academic research requiring high-level computations
- AI-driven application development
Get Started Easily: Launch your advanced data science workspace in minutes and scale your capabilities as your projects grow. Embrace the power of cloud computing with our Jupyter Notebook/Lab VM offering, designed to propel your data science and AI endeavors to new heights!
NOTE:
To use Jupyter Lab/Notebook
1) ssh in using this command ( ssh -L 8888:127.0.0.1:8888 ubuntu@1.2.3.4 [replacing 1.2.3.4 with your own public IP ] )
2) and then follow the terminal instructions AND access your jupyter on 127.0.0.1:8888
Highlights
- Pre-configured Jupyter Notebook environment for quick data science workflows.
- Seamless AWS integration with S3, EC2, SageMaker, and more.
- Includes popular Python libraries under open source licenses (NumPy, pandas, etc.).
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Delivery details
64-bit (x86) HAQM Machine Image (AMI)
HAQM Machine Image (AMI)
An AMI is a virtual image that provides the information required to launch an instance. HAQM EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.
Version release notes
this is the first version
Additional details
Usage instructions
NOTE:
To use Jupyter Lab/Notebook
- ssh in using this command ( ssh -L 8888:127.0.0.1:8888 ubuntu@1.2.3.4 [replacing 1.2.3.4 with your own public IP ] )
- and then follow the terminal instructions AND access your jupyter on 127.0.0.1:8888
Support
Vendor support
If you need any help contact us at: support@yaseens-website.com
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by HAQM Web Services.