Inference QL: Al for data engineers in Clojure - Ulrich Schaechtle

Discover InferenceQL, a powerful query language for probabilistic models, designed for data engineers in Clojure, with SQL-like syntax and extensive capabilities for data modeling, inference, and analysis.

Key takeaways

InferenceQL is a query language for probabilistic models, allowing for more expressive data modeling and inference.
The language is designed to be more accessible to non-technical users by using a SQL-like syntax.
The language can be used to model complex relationships between data, including non-linear relationships and missing data.
The language can also be used to query probabilistic models, allowing for questions such as “what is the probability that a developer knows Clojure” or “what is the best estimated salary for a developer based on their skills?”
The language is designed to be extensible and can be used with a variety of probabilistic models, including Bayesian networks and Monte Carlo methods.
The language is currently being used in several applications, including data journalism and web development.
The language is also being used to teach probabilistic programming to students and executives.
The language is designed to be comprehensive, allowing users to model and query data from multiple angles.
The language is currently in the process of being developed and refined.

Inference QL: Al for data engineers in Clojure - Ulrich Schaechtle

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