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Data Science Blog

Machine learning & data science for beginners and experts alike.
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Alteryx
Alteryx

Opioid Prescription Rates for CCGs in England Banner.png

Dr. Dan examines opioid abuse in England and compares it to behavior across the pond.

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Alteryx Alumni (Retired)
Alteryx
Alteryx

Learn how team Helping Hands built an app to recommend opioid treatment facility locations during the HHS Opioid Code-a-Thon.

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Alteryx Alumni (Retired)

Many if not most supervised-classification problems involve some degree of class imbalance, where at least one class occurs more frequently than the others.  The imbalanced-classification problem illustrates the value of approaching data-science problems as empirical (as well as formal) optimization problems, using techniques termed cost-sensitive learning. This post will show you how to do cost-sensitive binary classification.

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Alteryx Alumni (Retired)

Most real-world data-science design patterns combine several models to solve a single business problem.  This post surveys the most common and effective techniques for combining models.  Once you make it through this post (and its predecessors), you'll be ready to take on the design patterns we'll begin learning in 2017. 

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Alteryx Alumni (Retired)

Cross validation (CV) is a difficult topic.  There are many ways to do CV, and articles on the subject can be very technical.  This blog post is a gentle introduction to CV.  Read it and you'll find it much easier to understand later posts describing data-science design patterns that use CV. 

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Alteryx Alumni (Retired)

Understanding fitting algorithms is the final hurdle between you and some juicy data science design patterns.  Make the leap! 

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Alteryx Alumni (Retired)

Nothing is more stylish than a well-fitted induction algorithm.

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Alteryx Alumni (Retired)

An advanced-analytics model's induction algorithm is its prediction engine.  Learn what induction-algorithm features distinguish parametric statistical models and machine-learning models.

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Alteryx Alumni (Retired)

Learn why "all models are wrong, but some models are useful."

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Alteryx Alumni (Retired)

Citizen data scientist?  Learn design patterns that let you use Alteryx to build data-science expertise into your data analyses and analytical models!

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Alteryx
Alteryx

The recent 10.6 Predictive Release includes the introduction of the Prescriptive Category. This blog post will demonstrate different uses/configurations of the 3 simulation tools (Simulation Sampling, Simulation Scoring, Simulation Summary) via an example use case. This example can be downloaded from the Predictive District here

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Alteryx
Alteryx

At the time I'm writing this, we are focused on putting the finishing touches on the 10.6 release (Now available here). Many of the new capabilities that are being introduced with this release are focused on advanced analytics. We are particularly excited about the introduction of four new tools that are focused on prescriptive analytics.

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Alteryx Alumni (Retired)

Have you mastered the concepts discussed in Demystifying the R-based Tools, Part 1? Are you ready to take the next step on your Predictive Analytics journey? If so, this post is for you!

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