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Google

TBD

1:
2:
3:
4:
5:
6: AutoML image
7: AutoML Tabular
8: AutoML text
9: AutoML translation
10: Vertex AI

TBD

1 -

AutoML image

    * Author: Google
    * Version: unknown
    * Modified: 22-03-2022
    * Created: 22-03-2022
    * <https://cloud.google.com/vertex-ai>
    * Tags: AI, Services, ML models
    * Categories: AI

    ## Description

    Auto ML image is an image recognition software used to analyze

images and pull data from key aspects of said picture. this will train an ai to take those aspects from a picture and use recurisve programing to highlights the same aspects in other pictures.

    ## SLA

    https://cloud.google.com/vision/sla

    ## Data

    tbd

2 -

AutoML Tabular

    * Author: Google
    * Version: unknown
    * Modified: 22-03-2022
    * Created: 22-03-2022
    * <https://cloud.google.com/vertex-ai>
    * Tags: AI, Services, ML models
    * Categories: AI

    ## Description

    AutoML uses machine learning to analyze the content of tabular data.

You can use AutoML to train an ML model to use regression to find a numeric value, or use classification to predict a categorical outcome from your tabular data.

    ## SLA

    https://cloud.google.com/vision/sla

    ## Data

    tbd

3 -

AutoML text

Author: Google
Version: unknown
Modified: 22-03-2022
Created: 22-03-2022
https://cloud.google.com/vertex-ai
Tags: AI, Services, ML models, text analysis
Categories: AI

Description

Auto ML text uses machine learning to analyze the stucture and meaning of text. it extracts the information from authors and organizes the data. uses specific means of implementation such as classification, entity extraction, and segment analysis

SLA

https://cloud.google.com/vision/sla

Data

tbd

4 -

AutoML translation

Author: Google
Version: unknown
Modified: 22-03-2022
Created: 22-03-2022
https://cloud.google.com/vertex-ai
Tags: AI, text translation, ML models
Categories: AI

Description

Auto ML translation will automatically translate queries that are specific to a user-inputed domains. These are cutom translation models.

SLA

https://cloud.google.com/vision/sla

Data

tbd

5 -

Vertex AI

Author: Google
Version: unknown
Modified: 22-03-2022
Created: 22-03-2022
https://cloud.google.com/vertex-ai
Tags: AI, Services, ML models
Categories: AI, Fast Api

Description

Google vertex AI is a pretrained api service that allows the user to depoly pretrained ml models faster and more efficently

SLA

https://cloud.google.com/vertex-ai/sla

Data

tbd

6 - AutoML image

Auto ML image is an image recognition software used to analyze images and pull data from key aspects of said picture. this will train an ai to take those aspects from a picture and use recurisve programing to highlights the same aspects in other pictures.

Description

Auto ML image is an image recognition software used to analyze images and pull data from key aspects of said picture. this will train an ai to take those aspects from a picture and use recurisve programing to highlights the same aspects in other pictures.

Version

unknown

Documentation

https://cloud.google.com/vertex-ai

SLA

https://cloud.google.com/vision/sla

Data

tbd

7 - AutoML Tabular

AutoML uses machine learning to analyze the content of tabular data. You can use AutoML to train an ML model to use regression to find a numeric value, or use classification to predict a categorical outcome from your tabular data.

Description

AutoML uses machine learning to analyze the content of tabular data. You can use AutoML to train an ML model to use regression to find a numeric value, or use classification to predict a categorical outcome from your tabular data.

Version

unknown

Documentation

https://cloud.google.com/vertex-ai

SLA

https://cloud.google.com/vision/sla

Data

tbd

8 - AutoML text

Auto ML text uses machine learning to analyze the stucture and meaning of text. it extracts the information from authors and organizes the data. uses specific means of implementation such as classification, entity extraction, and segment analysis

Description

Auto ML text uses machine learning to analyze the stucture and meaning of text. it extracts the information from authors and organizes the data. uses specific means of implementation such as classification, entity extraction, and segment analysis