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It takes the most common and time-consuming activities — often related to ingesting mountains of documents — and builds machine learning workarounds.
The six year old startup builds machine learning tools to help banks and merchants spot payment fraud.
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As part of the project, we built machine learning models based on various types of unstructured inputs including user-generated text and telemetric and sensor-based data.
Using GraphLab, any programmer can build machine learning into an application.
President Samir El Agili said the company has built "machine learning technology to maximize and optimize user acquisition".
The systems first used a rule-based module for sentence boundary detection and tokenization, and then built machine learning classifiers based on CRF [19] and structured support vector machines (SSVM) [23] respectively.
"In the past year, we have built machine learning algorithms to evaluate companies," Ryan Caldbeck, CEO and co-founder of CircleUp, said in an interview.
This trio of IIT-Delhi engineers has built machine learning algorithms that get smarter over time and deliver actionable insights on how to modify content to increase engagement.
While projects like TensorFlow make it easier to build machine learning algorithms and train them for certain types of data inputs, TensorFlow Serving specializes in making these models usable in production environments.
Analysts could use it to locate answers to business issues, and it's sophisticated enough for data scientists to build machine learning projects based on a large corpus of data.
Feature Labs, a startup with roots in research begun at MIT, officially launched today with a set of tools to help data scientists build machine learning algorithms more quickly.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com