Data Science

Exporting Models in AML for Seamless Deployment and Enhanced...

We've recently introduced a feature called Model Export that takes the ML experience to a new level

How To Use the Workflow Summary Tool

Take a look behind the scenes at the Workflow Summary Tool.

Introducing the Workflow Summary Tool, Powered by Generative...

The Workflow Summary Tool is a new Designer Desktop tool that leverages the power of OpenAI’s ChatGPT to automatically provide concise summaries of a workflow’s purpose, inputs, ou...

Advancing Model Understanding: Human-Readable Pipeline Expla...

Our open-source Python AutoML package, EvalML, offers a wide variety of ways to understand the machine learning models that you train.

A Look Inside the Recommended Tools in Designer

Using Alteryx Designer is now even more intuitive. Find out how we built the new Recommended tools category, using Designer and predictive modeling.

Investigate Your Images with Image Profile

The new Image Profile Tool brings insights about images into your workflows. Let's learn about it — and dive into color and custom visualizations with Python along the way.

Picture Perfect: Inside Image Processing

Images and scanned documents can be a bit hard to decipher. Let’s see how the Image Processing tool works so you can make the most of your image-based data.

Unlocking Insights from Images using Computer Vision

The new Computer Vision tools use machine learning models to help you pull information out of documents and images.

How to Use Automated Feature Engineering in Alteryx Intellig...

We are thrilled to announce a major new automated machine learning capability in Alteryx Intelligence Suite with the 2021.1 release: Feature Engineering.

Automated Feature Engineering with Alteryx Intelligence Suit...

We are thrilled to expand Intelligence Suite’s Machine Learning tool group with four new tools: Data Health, AutoML, Features Types, and Build Features.

Easy, Open-Source AutoML in Python with EvalML

Introducing EvalML — an open-source library for automated machine learning (AutoML) and model understanding, written in Python.

Introducing Alteryx Open Source

We are excited to officially announce Alteryx Open Source and launch @AlteryxOSS, a Twitter account for Alteryx users and the larger data science community.

Introducing Compose for Prediction Engineering

How to build better training examples in a fraction of the time.

The Yhat Blog Lives On!

Introduction to Split Testing Models

What is split testing and how does it work in ScienceOps?

Introducing the Alteryx Simulation Toolset

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 (...

Introducing Alteryx Optimization Tool: Part 1: Fantasy Baseb...

The new Optimization tool has just come out in the Alteryx 10.6 Predictive Release (see Dr Dan's post on prescriptive analytics). With this single tool, we can solve linear program...

Demystifying the R-based Tools, Part 2 (Model Validation and...

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 fo...

Demystifying the R-based Tools, Part 1 (Setup/installation a...

Have you ever tried to explore those mysterious tools with an R in the lower right-hand corner and been too confused to continue? Or have you not even installed the Predictive, Tim...

Dive into Network Analysis for Product Data (with Beer!)

Want a way to interactively explore the relationships between products based on their attributes? Trying to understand the results of a market basket analysis? Alteryx provides the...