Remove Deep Learning Remove Publishing Remove Statistics Remove Unstructured Data
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8 Modeling Tools to Build Complex Algorithms

Domino Data Lab

Before selecting a tool, you should first know your end goal – machine learning or deep learning. Machine learning identifies patterns in data using algorithms that are primarily based on traditional methods of statistical learning. It’s most helpful in analyzing structured data.

Modeling 111
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Modeling 101: How It Works and Why It’s Important

Domino Data Lab

Some popular tool libraries and frameworks are: Scikit-Learn: used for machine learning and statistical modeling techniques including classification, regression, clustering and dimensionality reduction and predictive data analysis. It’s used for developing deep learning models.

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Improving Signal Classification using Visual AI

DataRobot

“One look is worth a Thousand Words” This phrase was used in 1913 to convey that graphics had a place in newspaper publishing. More than a hundred years later, this phrase still rings true, especially for data scientists. There are some interesting insights in adding unstructured features to the models. Image courtesy towardsAI.