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Data Science Blog

Machine learning & data science for beginners and experts alike.
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Community Content Engineer
Community Content Engineer

BRAINS.PNG

Neural Networks are an approach to artificial intelligence that was first proposed in 1944.  Modeled loosely on the human brain, Neural Networks consist of a multitude of simple processing nodes (called neurons) that are highly interconnected and send data through these network connections to estimate a target variable. In this article, I will discuss the structure and training of simple neural networks (specifically Multilayer Perceptrons, aka "vanilla neural networks"), as well as demonstrate an example neural network created by the Alteryx Neural Network Tool.

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Atom

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Royden Onishi explains how he & Ryan Andrew created their Image Vectorizer tool with the Python SDK and reflects on their experience in the Alteryx BUILD hackathon.

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Alteryx
Alteryx

Dr. Dan shows how he created the model and pauses for a mid-point sanity check.

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Sr. Community Content Manager
Sr. Community Content Manager

icon.pngHow to create a Gender Classification tool with the Python SDK based on example code in chapter 1 - Language and Computation - of Applied Text Analysis with Python.

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Alteryx
Alteryx

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New to Alteryx and ready to help improve the documentation, I'm clambering up another predictive suite tool: the decision tree.

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Alteryx
Alteryx

 

flag_1.pngWhat is support vector machine and why should you use it?

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Alteryx Alumni (Retired)

 

random-forest-3.pngAn introduction to working with random forests using Python

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Alteryx
Alteryx

 

bayes-theorem-neon-sign.jpgHow to implement your own naive bayes classifier in Python and a detailed explanation of how it all works.

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