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What is Jovian?

Start coding right away with an interactive Jupyter notebook hosted in the cloud, eliminating the need for any installation or setup. You have the option to begin with a new blank notebook, follow along with tutorials, or take advantage of various pre-existing templates. Keep all your projects organized through Jovian, where you can easily capture snapshots, log versions, and generate shareable links for your notebooks with a simple command, jovian.commit(). Showcase your most impressive projects on your Jovian profile, which highlights notebooks, collections, activities, and much more. You can track modifications in your code, outputs, graphs, tables, and logs with intuitive visual notebook diffs that facilitate monitoring your progress effectively. Share your work publicly or collaborate privately with your team, allowing others to build on your experiments and provide constructive feedback. Your teammates can participate in discussions and comment directly on specific parts of your notebooks thanks to a powerful cell-level commenting feature. Moreover, the platform includes a flexible comparison dashboard that allows for sorting, filtering, and archiving, which is essential for conducting thorough analyses of machine learning experiments and their outcomes. This all-encompassing platform not only fosters collaboration but also inspires innovative contributions from every participant involved. By leveraging these tools, you can enhance your productivity and creativity in coding significantly.

What is Amazon SageMaker Model Building?

Amazon SageMaker provides users with a comprehensive suite of tools and libraries essential for constructing machine learning models, enabling a flexible and iterative process to test different algorithms and evaluate their performance to identify the best fit for particular needs. The platform offers access to over 15 built-in algorithms that have been fine-tuned for optimal performance, along with more than 150 pre-trained models from reputable repositories that can be integrated with minimal effort. Additionally, it incorporates various model-development resources such as Amazon SageMaker Studio Notebooks and RStudio, which support small-scale experimentation, performance analysis, and result evaluation, ultimately aiding in the development of strong prototypes. By leveraging Amazon SageMaker Studio Notebooks, teams can not only speed up the model-building workflow but also foster enhanced collaboration among team members. These notebooks provide one-click access to Jupyter notebooks, enabling users to dive into their projects almost immediately. Moreover, Amazon SageMaker allows for effortless sharing of notebooks with just a single click, ensuring smooth collaboration and knowledge transfer among users. Consequently, these functionalities position Amazon SageMaker as an invaluable asset for individuals and teams aiming to create effective machine learning solutions while maximizing productivity. The platform's user-friendly interface and extensive resources further enhance the machine learning development experience, catering to both novices and seasoned experts alike.

Media

Media

Integrations Supported

GitHub
Jupyter Notebook
TensorFlow
Amazon SageMaker
Amazon Web Services (AWS)
Anaconda
Apache Spark
Docker
Google Cloud AutoML
Keras
MXNet
PyCharm
PyTorch
Python
R
R Markdown
Slack
Telegram
Visual Studio Code

Integrations Supported

GitHub
Jupyter Notebook
TensorFlow
Amazon SageMaker
Amazon Web Services (AWS)
Anaconda
Apache Spark
Docker
Google Cloud AutoML
Keras
MXNet
PyCharm
PyTorch
Python
R
R Markdown
Slack
Telegram
Visual Studio Code

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Jovian

Company Location

United States

Company Website

www.jovian.ai/

Company Facts

Organization Name

Amazon

Date Founded

1994

Company Location

United States

Company Website

aws.amazon.com/sagemaker/build/

Categories and Features

Technical Skills Development

Analytics
Career Coaching
Discussions
Exercises and Projects
Offline Usage
Quizzes & Assessments
Videos

Categories and Features

Machine Learning

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization

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