This article is by Dan Putler and originally appeared on the Alteryx Data Science Blog here: https://community.alteryx.com/t5/Data-Science-Blog/Blending-Fine-Wine-with-Alteryx-An-Optimization-Tutorial/ba-p/517428

 

The Optimization Tool has been a part of the Alteryx predictive tool suite for a few years now, but there has been a fairly limited discussion of how it works under the hood, the types of problems it can address, and the different ways the tool can be configured and used (exceptions to this are excellent articles by Philip Mannering, SydneyF, and JoeM).

 

There are actually numerous types of optimization methods.

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This article is by Dan Putler and originally appeared on the Alteryx Data Science Blog here: https://community.alteryx.com/t5/Data-Science-Blog/Getting-to-Know-Optimization-Linear-Programming/ba-p/513793

 

Linear programming is the oldest of the mathematical programming algorithms, dating to the late 1930s. The method can either minimize or maximize a linear function of one or more variables subject to a set of inequality constraints.

This article is by Sean Adams and originally appeared on the Alteryx Engine Works Blog here: https://community.alteryx.com/t5/Engine-Works-Blog/Beyond-Single-Pass-Analytics-What-Changes-With-Scale/ba-p/513519

 

When we begin with analytics, either as a new practice within your firm, or starting a team in a new area–much of your work may initially be what I call "single-pass analytics," where the data goes from source, to prep, straight to the end-point.

This article is by Robert Lenius and originally appeared on the Alteryx Engine Works Blog here: https://community.alteryx.com/t5/Engine-Works-Blog/Enriching-Tax-Data-with-Location-Information/ba-p/509848

 

Working in finance, I’m somewhat bummed that I don’t often get to explore the possibilities within location-based data.

This article is by David Hare and originally appeared on the Alteryx Engine Works Blog here: https://community.alteryx.com/t5/Engine-Works-Blog/Tackling-Queued-Jobs-With-Queueing-Theory-Part-2/ba-p/486450

 
Disclaimers

This is the second article in a two part series on using Queueing Theory to address queued jobs in Alteryx Server.

This article is by Timothy Lam and originally appeared on the Alteryx Data Science Blog here: https://community.alteryx.com/t5/Data-Science-Blog/Deploy-H2O-Driverless-AI-MOJO-to-Alteryx-Promote/ba-p/489190

 

H2O Driverless AI is an artificial intelligence platform for automatic machine learning.

This article is by Heather Harris and originally appeared on the Alteryx Nation Blog here: https://community.alteryx.com/t5/Alter-Nation-Blog/Use-Your-Alteryx-Badassery-to-Grow-Your-Career-and-Brand/ba-p/505382

 

When we searched for job postings worldwide that mention “Alteryx” in the job posting.

This article is by Timothy Lam and originally appeared on the Alteryx Data Science Blog here: https://community.alteryx.com/t5/Data-Science-Blog/Expand-Your-Predictive-Palette-III-I-Sales-Forecast-with-Prophet/ba-p/504651

 

At a high-level, forecasting techniques can be broken down into three main categories:

Historical Average with Sliding Windows

Examples: Seasonal Decomposition, Exponential Smoothing (ETS)
Pros: Simplicity: any tool can integrate like Excel & Tableau;
Cons: Laggardly reaction to changes & overly responsive with outliers, only works with simple structure

Linear Models

Examples: ARIMA, VAR(Good for multiple time series)
Pros: Works with consistent variation, such as established seasonality trends
Cons: Proper assumption on stationarity and homoscedasticity (statistics term for consistent variance/error). Careful predictor selection to prevent multicollinearity (statistics term when predictors are linearly correlated).

Non-Linear Models

Examples: Prophet, GARCH (generalized autoregressive conditional heteroskedasticity), Deep Learning
Pros: Discovering non-linear relationship & data drift in your data.

This article is by Ian Wi and originally appeared on the Alteryx Data Science Blog here: https://community.alteryx.com/t5/Data-Science-Blog/Observations-on-the-Citizen-Data-Scientist/ba-p/472029

 

Citizen Data Scientist is currently a very popular term in the analytics community.