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.
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.
This article is by Sydney Firmin and originally appeared on the Alteryx Data Science Blog here: https://community.alteryx.com/t5/Data-Science-Blog/Filling-in-the-Blanks-An-Introduction-to-Spatial-Interpolation/ba-p/336957
When there are missing values in a typical data set, you have a few options on how to handle them.
IRVINE, California/HONG KONG, Jan. 28, 2019 – Velocity Business Solutions (Hong Kong), a leading data analytics firms, announced today that the company achieved a Premier Status for 2019 as a part of Alteryx’s Partner Program. The ‘Premier Status’ is the highest level in achievements for resellers, consulting and integration partners that demonstrate a highly successful track record of delivering unmatched value to Alteryx customers, contributing towards Alteryx’s platform that is revolutionizing business through data science and the growing culture of analytics.
This article is by KatieH and originally appeared on the Alteryx Engine Works Blog here: https://community.alteryx.com/t5/Engine-Works-Blog/Auto-Documentation/ba-p/344528
We are excited to share with you all today, project AAD (Automated Alteryx Documentor). This customer-led initiative starts here, with a beta version of this customer-created Alteryx app.
This article is by Sydney Firmin and originally appeared on the Alteryx Data Science Blog here: https://community.alteryx.com/t5/Engine-Works-Blog/How-to-Enrich-Your-Geographical-Trade-Areas-with-Demographic/ba-p/340489https://community.alteryx.com/t5/Data-Science-Blog/Embedding-a-Model-in-a-Python-SDK-Tool/ba-p/330602
In order to maximise the accuracy of our outputs, we should look to obtain demographic information at the lowest level of detail we can find, and, the newest information we can find.
This article is by Sydney Firmin and originally appeared on the Alteryx Data Science Blog here: https://community.alteryx.com/t5/Data-Science-Blog/Vector-and-Raster-A-Tale-of-Two-Spatial-Data-Types/ba-p/336141
In the world of spatial analysis, there are two major varieties of data: vector and raster.