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The success of your predictions depends both on the data you have available and the models you train this data on. Data Scientists and Data engineers need best in class tools to prepare the data for feature engineering, the best training models, and the best way of deploying, monitoring, and managing these implementations for optimal prediction confidence.
Watch this webinar with MindsDB and Snowflake to learn more about:
Running MindsDB with Snowflake can significantly increase the performance and reduce the computational requirements of training your machine learning models.
If you are already a Snowflake user, you can take advantage of key features quickly to enable fast, efficient machine learning capabilities directly in your database by simply connecting Snowflake to the MindsDB service.
The success of your predictions depends both on the data you have available and the models you train this data on. Data Scientists and Data engineers need best in class tools to prepare the data for feature engineering, the best training models, and the best way of deploying, monitoring, and managing these implementations for optimal prediction confidence.
Watch this webinar with MindsDB and Snowflake to learn more about:
Running MindsDB with Snowflake can significantly increase the performance and reduce the computational requirements of training your machine learning models.
If you are already a Snowflake user, you can take advantage of key features quickly to enable fast, efficient machine learning capabilities directly in your database by simply connecting Snowflake to the MindsDB service.
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