Data Science

Machine learning & data science for beginners and experts alike.

Machine Learning

Accomplish More with Automated Machine Learning

Automated machine learning can help us all accomplish more. Learn more about autoML and how our open-source Python library EvalML makes it easier to explore that potential.

Alteryx Designer

1 min to read

Computer Vision Within Reach: A Deeper Dive Into OCR and Mor...

Discussions of computer vision can be incredibly technical. Here's a gentle introduction to what's happening under the hood of the Alteryx tools.

Developer

Python

4 min to read

Jupyter Flow FAQ

Got a question? The Jupyter Flow tool FAQ may be able to help!

Developer

Python

5 min to read

Introducing the Jupyter Flow Tool

Schedule Jupyter notebooks on Server. Use and share them in Alteryx workflows. Integrate Jupyter notebooks and their environments into your analytics process. The Jupyter Flow tool...

Best Practices

1 min to read

Feature Engineering 101: Introduction to Featuretools

Construct new features automatically to build better models, save time and avoid the mistakes that can occur in a manual process.

Developer

Python

9 min to read

How to Troubleshoot Memory Problems in Python

Memory problems are tough to diagnose and fix — maybe more so in Python. Read about how we identified and fixed a memory problem in EvalML, and pick up some best practices you can...

Machine Learning

3 min to read

Learning Data Science Through Social Media

Add some data science to your social media scrolling! Learn a little every day with these accounts that offer fun, quick ideas and tips.

Alteryx Designer

9 min to read

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.

Regression

8 min to read

Using Linear Regression to Conduct a Pay Equity Study

Data can reveal insights into complex issues, especially around diversity, equity and inclusion. Here's your guide to conducting a pay equity analysis using Alteryx Designer.

Release | New Feature

5 min to read

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.

Best Practices

3 min to read

Experts Debunk Data Science Myths

There are plenty of myths to debunk. Let's hear some Alternative Hypotheses!

Alteryx Designer

7 min to read

Notable Nodes: Identifying Influencers with Network Analysis

Identifying social media influencers is both an art and a science. Let’s try out the Network Analysis Tool to find them on Twitter.

Best Practices

10 min to read

The Data Science Celebrity Q&A: Meet P. Value (aka p-value)

Our interviewer sat down with P. Value, the popular but sometimes mystifying statistical calculation, for an exclusive Q&A. Hear its origin story, and learn why its success isn’t j...

Common Use Case

6 min to read

Building a 'Return to Work' Timetable in Alteryx

Using Alteryx Designer to optimise the use of office space as governments begin to start allowing people to return to work.

Best Practices

8 min to read

Vital Signs: Assessing Data Health and Dealing with Outliers

Learn about the diagnostic powers of the Data Health Tool and find out how to take action on your results, especially outliers you find.

Best Practices

7 min to read

Normalization, Standardization, and Regularization in Altery...

Ever get a little confused by these three terms that sound so similar? Let's get some clarity on these important concepts.

Machine Learning

10 min to read

Using Text Data in EvalML with Woodwork

Learn how EvalML leverages Woodwork, Featuretools and the nlp-primitives library to process text data and create a machine learning model that can detect spam text messages.

Machine Learning

4 min to read

Exploring EvalML: Automatically Build, Optimize and Evaluate...

Go on a guided tour of how EvalML automatically builds, optimizes and evaluates supervised machine learning pipelines.

Machine Learning

5 min to read

Exploring Featuretools: Automated Feature Engineering for Ma...

Let's explore how Featuretools generates new features for use in machine learning — automatically, quickly and easily.

Best Practices

8 min to read

Metric Matters, Part 2: Evaluating Regression Models

Feeling determined, absolute or maximum? Find the right metrics for evaluating your regression models.

Best Practices

15 min to read

Metric Matters, Part 1: Evaluating Classification Models

The metrics you choose to evaluate your models matter, but with so many choices, which one should you select?

Release | New Feature

4 min to read

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.

Release | New Feature

4 min to read

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.

Python

4 min to read

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.

Best Practices

7 min to read

Data Normalization: What You Need to Know Before Feature Eng...

Especially ahead of feature engineering, it is important to have an understanding of how and why our data is structured - something called data normalization.

Clustering

3 min to read

Locating Sustainable Living with Data Science + an Analytic...

Exploring new places to live now that remote work is a more widely available option? Let's use some data science and an analytic app to find neighborhoods that offer sustainable li...

Developer

1 min to read

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.

Best Practices

4 min to read

Who’s Curious about ML and AI?

Who's looking into machine learning and artificial intelligence? See where you fit among those exploring these topics.

5 min to read

Ho, Ho … Ow! Identifying Holiday Hazards with Topic Modeling

Let's use data science to find out where danger lurks among the sparkly lights and shiny ornaments. One dangerous item is something you probably use year-round.

Best Practices

4 min to read

Looking Forward to 2021 in Data Science and Analytics

Take a look at some of the trends and developments of 2020 that will shape and inspire our work in the year to come.