This article is by Dean Stoecker and originally appeared on the Alteryx Engine Works Blog here: https://community.alteryx.com/t5/Analytics-Blog/SXSW-Using-Data-Analytics-to-Combat-the-Opioid-Crisis/ba-p/400948
“In order to change an existing paradigm, you do not struggle to try and change the problematic model.
This article is by Alex Koszycki and originally appeared on the Alteryx Nation Blog here: https://community.alteryx.com/t5/Alter-Nation-Blog/Alteryx-Community-Version-19-3/ba-p/404700
Customer Support Improvements
We're happy to provide a few new features and enhancements to the Customer Support Case portal, including a more streamlined case submission process and a sharp new look for your open cases.
This article is by Ian Wi and originally appeared on the Alteryx Engine Works Blog here: https://community.alteryx.com/t5/Engine-Works-Blog/We-All-Start-Somewhere/ba-p/371822
Many users try Designer and never look back. In fact, many users try Designer, never look back, and go around telling folks they know about their experiences with Designer.
This article is by Sydney Firmin and originally appeared on the Alteryx Data Science Blog here: https://community.alteryx.com/t5/Data-Science-Blog/Bias-Versus-Variance/ba-p/351862
There are two types of model errors when making an estimate; bias and variance.
Introduction
For whatever reason, you might want to (or need to) collect, store and process unstructured text items with associated metadata. Examples could be to set up a library for research purposes or to build a tool to watch the public discourse for relevant conversation pieces.
This article is by Andrew Kramer and originally appeared on the Alteryx Data Science Blog here: https://community.alteryx.com/t5/Data-Science-Blog/Deploying-Custom-Python-Models-with-Alteryx-Promote/ba-p/368755
Data scientists have struggled to deploy their models in a timely manner before they become obsolete.
Alteryx has now announced that the Alteryx Community has now become global with their community site in; Japanese, French, and German.
New Version Notation
A new release cycle has been introduced this year (2019) with regular major releases every 6-8 weeks.
This article is by Sydney Firmin and originally appeared on the Alteryx Data Science Blog here: https://community.alteryx.com/t5/Data-Science-Blog/Sneaky-AI-Specification-Gaming-and-the-Shortcomings-of-Machine/ba-p/348686
Artificial Intelligence is a very exciting field of study.
This article is by Sydney Firmin and originally appeared on the Alteryx Data Science Blog here: https://community.alteryx.com/t5/Data-Science-Blog/All-Models-Are-Wrong/ba-p/348080
All Models Are Wrong
The three broad categories of assumptions made by statistical models are distributional assumptions (assumptions about the distribution of values in a variable or the distribution of observational errors), structural assumptions (assumptions about the functional relationship between variables), and cross-variation assumptions (joint probability distribution).
For example, a linear regression model assumes that the relationships between variables in a data set are linear (and only linear). In the eyes of a linear model, any distance between the observations that make up the data set and the modeled line is just noise (i.e., random or unexplained fluctuations in the data) and can ultimately be ignored.
Alteryx Analytics 2019.1 is now released!
The major highlights in this release for analysts and data scientists are multi-select caching, additional charting options, and new Python Tool capabilities. For our IT and admins, we’ve dramatically simplified the admin experience with easier navigation in Server and model deployment scaling in Promote.