Understanding the Basics: What is the Difference Between AI and Machine Learning?
What is the difference between AI and machine learning? Read on to learn their critical differences and discover how AI and machine learning work together to solve problems.
The Future is Now: Improving the Supply Chain with Predictive Analytics
See how predictive analytics can be used in the supply chain to optimize inventory, route planning, risk management, customer satisfaction and more.
4 Steps to Reduce Process Defects with Machine Learning and R Integration
We explore how to build a Neural Network in Minitab using R to compliment and compare with results from our own Predictive Analytics module.
When should I use machine learning?
With the advent of Industry 4.0 and the industrial internet of things (IIoT), information comes streaming in from many sources. Being able to collect, collate and analyze this information is becoming ever-more critical as companies use this to find insight and improve efficiency and effectiveness. You may already run some data analysis and may ask you the question "When should I use machine learning?”
Feature Engineering for Machine Learning and Predictive Analytics
Explore the importance of feature engineering for machine learning, how it relates to data manipulation and learn proper technique application in Minitab.
File Not Found? Missing Output? Quick Tips to Troubleshoot Python Errors
Get a few quick tips to troubleshoot common errors when running Python scripts from the interface of this easy-to-use statistical analysis software.
Quickly Run a Python Script with a Button in Minitab
Learn about Minitab’s new Python integration feature and how to easily run custom Python code via a button in the Minitab interface.
Trimming Decision Trees to Make Paper: Predictive Analytics and Root Cause Analysis in Minitab
As we collect more and more observational data from our processes, we may need new tools to provide meaningful insights into this information. You can add modern-day machine learning techniques alongside traditional statistical tools to analyze, improve and control your processes.