+
+

Related Products

  • Sage Intacct
    7,861 Ratings
    Visit Website
  • Vertex AI
    783 Ratings
    Visit Website
  • Google AI Studio
    11 Ratings
    Visit Website
  • Google Cloud BigQuery
    1,934 Ratings
    Visit Website
  • Flowlens
    39 Ratings
    Visit Website
  • EBizCharge
    195 Ratings
    Visit Website
  • Gravity Software
    45 Ratings
    Visit Website
  • RunPod
    205 Ratings
    Visit Website
  • Windsurf Editor
    156 Ratings
    Visit Website
  • Sogolytics
    864 Ratings
    Visit Website

About

Amazon SageMaker provides all the tools and libraries you need to build ML models, the process of iteratively trying different algorithms and evaluating their accuracy to find the best one for your use case. In Amazon SageMaker you can pick different algorithms, including over 15 that are built-in and optimized for SageMaker, and use over 150 pre-built models from popular model zoos available with a few clicks. SageMaker also offers a variety of model-building tools including Amazon SageMaker Studio Notebooks and RStudio where you can run ML models on a small scale to see results and view reports on their performance so you can come up with high-quality working prototypes. Amazon SageMaker Studio Notebooks help you build ML models faster and collaborate with your team. Amazon SageMaker Studio notebooks provide one-click Jupyter notebooks that you can start working within seconds. Amazon SageMaker also enables one-click sharing of notebooks.

About

Manage and optimize models across the entire ML lifecycle, from experiment tracking to monitoring models in production. Achieve your goals faster with the platform built to meet the intense demands of enterprise teams deploying ML at scale. Supports your deployment strategy whether it’s private cloud, on-premise servers, or hybrid. Add two lines of code to your notebook or script and start tracking your experiments. Works wherever you run your code, with any machine learning library, and for any machine learning task. Easily compare experiments—code, hyperparameters, metrics, predictions, dependencies, system metrics, and more—to understand differences in model performance. Monitor your models during every step from training to production. Get alerts when something is amiss, and debug your models to address the issue. Increase productivity, collaboration, and visibility across all teams and stakeholders.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Enterprises in search of a solution to build machine learning models efficiently

Audience

Meta machine learning platform designed to help AI practitioners and teams build reliable machine learning models for real-world application

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

$179 per user per month
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Amazon
Founded: 1994
United States
aws.amazon.com/sagemaker/build/

Company Information

Comet
Founded: 2017
United States
www.comet.com

Alternatives

Alternatives

Vertex AI

Vertex AI

Google

Categories

Categories

Machine Learning Features

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

Deep Learning Features

Convolutional Neural Networks
Document Classification
Image Segmentation
ML Algorithm Library
Model Training
Neural Network Modeling
Self-Learning
Visualization

Integrations

Amazon SageMaker
Amazon Web Services (AWS)
PyTorch
Python
TensorFlow
Apache Spark
Axolotl
Clone Protocol
CogniSync
GitHub
Google Cloud Platform
Keras
Ludwig
MXNet
Microsoft Azure
Plotly Dash
R
R Markdown
Seldon
ZenML

Integrations

Amazon SageMaker
Amazon Web Services (AWS)
PyTorch
Python
TensorFlow
Apache Spark
Axolotl
Clone Protocol
CogniSync
GitHub
Google Cloud Platform
Keras
Ludwig
MXNet
Microsoft Azure
Plotly Dash
R
R Markdown
Seldon
ZenML
Claim Amazon SageMaker Model Building and update features and information
Claim Amazon SageMaker Model Building and update features and information
Claim Comet and update features and information
Claim Comet and update features and information