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Data Science Blog

Machine learning & data science for beginners and experts alike.
Sr. Data Science Content Engineer
Sr. Data Science Content Engineer
Community Content Engineer
Community 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
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
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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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
Sr. Community Content Manager
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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Sr. Data Science Content Engineer
Sr. Data Science Content Engineer

 

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Machines are not constrained by human experience or expectations, only by what we give them as inputs. This can be exciting and beautiful, or dangerous.

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

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In the world of spatial analysis, there are two major varieties of data: vector and raster. The divide between these two data types and the people that use them has raged on for decades.

 

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

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Understanding the topic of a piece of writing is typically an easy task for people. However, there are times where we need to train our computers to find topics in a collection of documents. There might be too many documents for you, a single human, to read through, or you may be interested in discovering underlying themes in a large set of texts. Enter LDA, a popular model for Topic Modeling.

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

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After training a Phrases model with Community texts, I wanted to be able to incorporate the model into Alteryx workflows that I was using to process text, and hopefully even be able to share the model with other Alteryx users. After thinking through this, I realized it was a perfect application for the Python SDK.

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