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Description

Harnessing cutting-edge open-source AutoML technology, we facilitate the creation of high-quality models effortlessly. This system incorporates Deep Learning and pre-trained models to enhance intelligence wherever relevant. By employing Causal AI alongside AutoML, it ensures fairness, supports causal inference, and provides counterfactual predictions. Each trained model can be deployed instantly for interactive online use or through an API, making it accessible to all users. Additionally, it offers comprehensive insights into feature importances and model explanations through Shapley values. Our AI engine operates entirely on an open-source framework, allowing for complete transparency and universal applicability of our algorithms. It effectively groups customers or products into similar cohorts based on an extensive array of features. Furthermore, it predicts future outcomes by identifying temporal patterns in historical data and is capable of training predictive models using labeled data to make predictions on unlabeled datasets, thereby enhancing its overall utility and performance.

Description

Cloud AutoML represents a collection of machine learning tools that allow developers with minimal expertise in the field to create tailored models that meet their specific business requirements. This technology harnesses Google's advanced transfer learning and neural architecture search methodologies. By utilizing over a decade of exclusive research advancements from Google, Cloud AutoML enables your machine learning models to achieve enhanced accuracy and quicker performance. With its user-friendly graphical interface, you can effortlessly train, assess, refine, and launch models using your own data. In just a few minutes, you can develop a personalized machine learning model. Additionally, Google’s human labeling service offers a dedicated team to assist in annotating or refining your data labels, ensuring that your models are trained on top-notch data for optimal results. This combination of advanced technology and user support makes Cloud AutoML an accessible option for businesses looking to leverage machine learning.

API Access

Has API Yes 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

ASPIRE Health No 
Amazon SageMaker Model Building No 
Axon Ivy No 
B2Metric No 
Beats No 
Dataiku No 
Elastic Observability No 
Evoltsoft No 
Google Cloud Media Translation API No 
Google Cloud Natural Language API No 
Google Cloud Platform No 
Google Cloud Video AI No 
Google Sheets Yes 
Google Skills No 
Health Studio No 
IntelliPay No 
ML.NET No 
Microsoft Excel Yes 
luminoth No 

Integrations

ASPIRE Health Yes 
Amazon SageMaker Model Building Yes 
Axon Ivy Yes 
B2Metric Yes 
Beats Yes 
Dataiku Yes 
Elastic Observability Yes 
Evoltsoft Yes 
Google Cloud Media Translation API Yes 
Google Cloud Natural Language API Yes 
Google Cloud Platform Yes 
Google Cloud Video AI Yes 
Google Sheets No 
Google Skills Yes 
Health Studio Yes 
IntelliPay Yes 
ML.NET Yes 
Microsoft Excel No 
luminoth Yes 

Pricing Details

$80 per user per month
Free Trial No 
Free Version Yes 

Pricing Details

No price information available.
Free Trial Yes 
Free Version No 

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 No 
Linux No 
Chromebook No 

Customer Support

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

Customer Support

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

Types of Training

Training Docs Yes 
Webinars No 
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

Actable AI

Founded

2020

Country

United Kingdom

Website

www.actable.ai/

Vendor Details

Company Name

Google

Founded

1998

Country

United States

Website

cloud.google.com/automl

Product Features

Data Analysis

Data Discovery Yes 
Data Visualization Yes 
High Volume Processing No 
Predictive Analytics Yes 
Regression Analysis No 
Sentiment Analysis No 
Statistical Modeling No 
Text Analytics No 

Product Features

Machine Learning

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

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