Anton Caceres - Boost Your Database With Machine Learning Capabilities Using Python and Open-Source
Let's be honest: the ML integration process can be exhausting. Fetching the data, transformation pipelines, training, running, querying... But what if we could turn things around by putting ML jobs right where the data belongs - in the database? What if we could query resulting predictions via SQL, or Alchemy, or any other ORM we already use for the data itself? MindsDB is an open-source platform written in Python that integrates with popular databases and state-of-the-art machine learning frameworks, making it possible to classify and label rich text, extract meaning for labeling text, and more with just SQL. We can add new connectors with Python, configure predictor details, import external ML models, or bring any desired feature to reality thanks to the supportive open-source community. This talk presents MindsDB and tries to empower developers to bring the power of machine learning to their applications.
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