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Data Science Blog

Machine learning & data science for beginners and experts alike.
Community v19.6

Looks aren't everything... But the latest Community refresh looks darn good!

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Alteryx
Alteryx

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Sr. Data Science Content Engineer
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Community Content Engineer
Community Content Engineer
Sr. Data Science Content Engineer
Sr. Data Science Content Engineer
Sr. Data Science Content Engineer
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Sr. Data Science Content Engineer
Sr. Data Science Content Engineer
Sr. Data Science Content Engineer
Sr. Data Science Content Engineer
Community Content Engineer
Community Content Engineer
Alteryx
Alteryx

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Sr. Data Science Content Engineer
Sr. Data Science Content Engineer
Sr. Data Science Content Engineer
Sr. Data Science Content Engineer
Sr. Data Science Content Engineer
Sr. Data Science Content Engineer

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Today, we are very excited to announce the public preview of two Alteryx Designer tools that connect to Azure Machine Learning automated ML (Machine Learning), allowing you to easily leverage the power of automated machine learning from inside Designer.

 

With the Azure Machine Learning Training tool, you can send data directly from Designer to be trained by Azure Machine Learning automated ML. Use the Azure Machine Learning Scoring tool to use the model you trained for predictions on new data. 

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Sr. Data Science Content Engineer
Sr. Data Science Content Engineer
Alteryx
Alteryx

 

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With the debut of the Python tool in Alteryx Designer 2018.3, many great macros from PDF table extraction to Parquet file integration are born. As a citizen data scientist, the first instinct is to import some great scikit-learn package into the predictive palette. The question is where to start?

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Sr. Data Science Content Engineer
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Sr. Data Science Content Engineer
Sr. Data Science Content Engineer

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Learning a new skill or trade can be expensive. Luckily in the age of the internet, it doesn’t have to be. Here is an index of no-cost resources for learning data science concepts and skills.

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Quasar
Quasar

The hype around Artificial Intelligence (AI) reached a fevered pitch as the world entered 2019. But what does AI really mean? And how is it related to similarly mystifying terms like ML (machine learning) or ‘deep-learning’?

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Sr. Data Science Content Engineer
Sr. Data Science Content Engineer
Alteryx
Alteryx

Have you struggled to deploy your predictive models in a timely manner before they become obsolete? This article will show you how Alteryx Promote solves this challenge by deploying your model into a RESTful API that can be called from a wide variety of enterprise applications.

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Sr. Data Science Content Engineer
Sr. Data Science Content Engineer
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Sr. Community Content Manager

@SydneyF gave us the lowdown on neural network fundamentals. The latest feature from Quanta Magazine highlights recent research that attempts to relate a neural network's form to its function: Foundations Built for a General Theory of Neural Networks.

Sr. Data Science Content Engineer
Sr. Data Science Content Engineer

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There are two types of model errors when making an estimate; bias and variance. Understanding both of these types of errors, as well as how they relate to one another is fundamentally important to understanding model overfitting, underfitting, and complexity.

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Sr. Data Science Content Engineer
Sr. Data Science Content Engineer
Sr. Data Science Content Engineer
Sr. Data Science Content Engineer

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“Essentially, all models are wrong, but some models are useful.” Unpacking the famous George Box quote.

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