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Kurt Cagle Explores the Cognitive Web

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Category: Machine Learning

Machine Learning, often shortened to ML, is a general term for algorithms that use kernels, or propagation graphs, to analyze patterns and act upon them through differential geometry. Machine learning is essentially trained by analyzing large amounts of specific kinds of data, then using the kernel to classify new content, and is used heavily in speech and visual recognition, threat and risk analysis, and gaming.

Articles in this section will typically be more technically focused, while more general content will usually be found under the related rubric of Artificial Intelligence. For more information, see here.

ChatGPT (LLMs) vs. Knowledge Graphs

Posted on March 24, 2023March 24, 2023 by Kurt Cagle

This is the second of three articles about ChatGPT and Knowledge Graphs. In the first article, I looked at how…

 6,232 total views,  156 views today

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Making Sense of Data Features

Posted on June 16, 2021November 21, 2022 by Kurt Cagle

Spend any time at all in the machine learning space, and pretty soon you will encounter the term “feature”. It’s…

 79 total views

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Seeking Out the Future of Search

Posted on April 3, 2021November 18, 2022 by Kurt Cagle

Way back in 1991, Tim Berners-Lee, then a young English software developer working at CERN in Geneva, Switzerland, came up with an intriguing way of combining a communication protocol for retrieving content (HTTP) with a descriptive language for embedding such links into documents (HTML). Shortly thereafter, as more and more people began to create content on these new HTTP servers, it became necessary to be able to provide some kind of mechanism to find this content.

 36 total views

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