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.
Enhancing and Digitizing the Customer Experience in Financial Services
Explore two examples about automation and harnessing data analysis to enhance and digitize your customers' experience in the financial services sector.
How to Predict and Prevent Product Failure
When a reliability issue is reported, you need to identify risks for products still in use. Read this Blog to discover how to predict and prevent failure.
Bullwhip on the Brain? 5 Ideas to Improve Efficiency and Counteract Supply Chain Effects on Your Business
Counteract the bullwhip effect COVID-19 has put on supply chains by improving efficiency in your business. See the five simple ways to find efficiency.
Predictive Analytics and Determining Patient Length of Stay at Time of Admission
Learn how historical data from a hospital can be used to accurately predict how long a patient will stay based on information you know when they arrive.
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.
Branching Out: Using CART For Alternative Ways to Analyze Categorical Survey Data
Take advantage of CART Classification to analyzing categorical survey data in the latest version of in Minitab Statistical Software. Open to discover how.