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Average Ratings 0 Ratings

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features
design
support

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Write a Review

Description

Experience the elegance of Machine Learning, designed for everyone, and elevate your business through the top-tier Machine Learning platform available. Begin making insightful, data-driven choices today without the burden of costly or complex solutions. BigML offers Machine Learning that operates seamlessly and effectively. With a suite of well-designed algorithms tailored to tackle real-world challenges, BigML employs a unified framework that can be applied throughout your organization. By minimizing reliance on various disconnected libraries, you can significantly reduce complexity, maintenance expenses, and technical debt in your projects. BigML empowers countless predictive applications across diverse sectors such as aerospace, automotive, energy, entertainment, financial services, food, healthcare, IoT, pharmaceuticals, transportation, telecommunications, and many others. The platform excels in supervised learning techniques, including classification and regression (trees, ensembles, linear regressions, logistic regressions, and deep learning), as well as time series forecasting, making it a versatile tool for any business. Explore the future of decision-making with BigML's innovative solutions today!

Description

Giskard provides interfaces to AI & Business teams for evaluating and testing ML models using automated tests and collaborative feedback. Giskard accelerates teamwork to validate ML model validation and gives you peace-of-mind to eliminate biases, drift, or regression before deploying ML models into production.

API Access

Has API Yes 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Amazon Web Services (AWS) No 
GitHub No 
Google Cloud Platform No 
Incredible Yes 
Jupyter Notebook No 
Kaggle No 
Kubeflow No 
Kubernetes No 
Microsoft Azure No 
PyTorch No 
Stackreaction Yes 
Unremot Yes 
Wufoo Yes 
Zapier Yes 
pandas No 

Integrations

Amazon Web Services (AWS) Yes 
GitHub Yes 
Google Cloud Platform Yes 
Incredible No 
Jupyter Notebook Yes 
Kaggle Yes 
Kubeflow Yes 
Kubernetes Yes 
Microsoft Azure Yes 
PyTorch Yes 
Stackreaction No 
Unremot No 
Wufoo No 
Zapier No 
pandas Yes 

Pricing Details

$30 per user per month
Free Trial No 
Free Version Yes 

Pricing Details

$0
Free Trial No 
Free Version Yes 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac Yes 
Linux Yes 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) Yes 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

BigML

Founded

2011

Country

United States

Website

bigml.com

Vendor Details

Company Name

Giskard

Founded

2021

Country

France

Website

www.giskard.ai

Product Features

Machine Learning

Deep Learning No 
ML Algorithm Library No 
Model Training No 
Natural Language Processing (NLP) No 
Predictive Modeling Yes 
Statistical / Mathematical Tools No 
Templates Yes 
Visualization No 

Product Features

Continuous Delivery

Application Lifecycle Management No 
Application Release Automation No 
Build Automation No 
Build Log No 
Change Management No 
Configuration Management No 
Continuous Deployment No 
Continuous Integration Yes 
Feature Toggles / Feature Flags No 
Quality Management Yes 
Testing Management Yes 

Continuous Integration

Build Log No 
Change Management No 
Configuration Management No 
Continuous Delivery Yes 
Continuous Deployment No 
Debugging Yes 
Permission Management No 
Quality Assurance Management Yes 
Testing Management Yes 

Machine Learning

Deep Learning Yes 
ML Algorithm Library No 
Model Training No 
Natural Language Processing (NLP) Yes 
Predictive Modeling No 
Statistical / Mathematical Tools Yes 
Templates No 
Visualization Yes 

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